Iadh Ounis - RankMe

435 papers A* 66A 92B 8C 14Misc 12Journal 108Unranked 121

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Investors Are (Not) Always Right: A Comparison of Transaction-Based and Profitability-Based Metrics for Financial Asset Recommendations. ACM Trans. Inf. Syst. Javier Sanz-Cruzado, Richard McCreadie, Nikolaos Droukas, Craig Macdonald, Iadh Ounis
2026	—	`conf`	Knowledge-Enhanced Multi-agent for LLM-Based Recommendation. ECIR (2) Zeyuan Meng, Zixuan Yi, Iadh Ounis
2026	—	`conf`	LURE-RAG: Lightweight Utility-Driven Reranking for Efficient RAG. ECIR (1) Manish Chandra, Debasis Ganguly, Iadh Ounis
2026	J	`jnl`	LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG. CoRR Manish Chandra, Debasis Ganguly, Iadh Ounis
2026	J	`jnl`	Quantifying Query Fairness Under Unawareness. J. Artif. Intell. Res. Thomas Jänich, Alejandro Moreo, Alessandro Fabris, Graham McDonald, Andrea Esuli, Iadh Ounis, Fabrizio Sebastiani
2026	—	`conf`	RecRankerEval: A Reproducible Framework for Deploying and Evaluating LLM-Based Top-k Recommenders. ECIR (3) Zeyuan Meng, Zixuan Yi, Iadh Ounis
2026	—	`conf`	Temporal Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN. ECIR (3) Ritajit Dey, Iadh Ounis, Graham McDonald, Yashar Moshfeghi
2026	J	`jnl`	Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN. CoRR Ritajit Dey, Iadh Ounis, Graham McDonald, Yashar Moshfeghi
2025	—	`conf`	A Multi-modal Large Language Model with Graph-of-Thought for Effective Recommendation. NAACL (Long Papers) Zixuan Yi, Iadh Ounis
2025	—	`conf`	A Multi-modal Recipe for Improved Multi-domain Recommendation. ECIR (1) Zixuan Yi, Iadh Ounis
2025	A*	`conf`	Are Generative AI Agents Effective Personalized Financial Advisors? SIGIR Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis
2025	J	`jnl`	Are Generative AI Agents Effective Personalized Financial Advisors? CoRR Takehiro Takayanagi, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis
2025	A*	`conf`	Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank. SIGIR Zeyan Liang, Graham McDonald, Iadh Ounis
2025	J	`jnl`	Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank. CoRR Zeyan Liang, Graham McDonald, Iadh Ounis
2025	J	`jnl`	Enhancing Recommender Systems: Deep Modality Alignment with Large Multi-Modal Encoders. Trans. Recomm. Syst. Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie
2025	—	`conf`	Fair Exposure Allocation Using Generative Query Expansion. ECIR (4) Thomas Jänich, Graham McDonald, Iadh Ounis
2025	—	`conf`	FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising. ECIR (5) Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi, Javier Sanz-Cruzado, Richard McCreadie, Iadh Ounis
2025	—	`conf`	FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. EMNLP (Findings) Zhaohan Meng, Zaiqiao Meng, Ke Yuan, Iadh Ounis
2025	—	`conf`	Improving Low-Resource Retrieval Effectiveness Using Zero-Shot Linguistic Similarity Transfer. ECIR (4) Andreas Chari, Sean MacAvaney, Iadh Ounis
2025	J	`jnl`	Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer. CoRR Andreas Chari, Sean MacAvaney, Iadh Ounis
2025	J	`jnl`	KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation. CoRR Zeyuan Meng, Zixuan Yi, Iadh Ounis
2025	A*	`conf`	Lost in Transliteration: Bridging the Script Gap in Neural IR. SIGIR Andreas Chari, Iadh Ounis, Sean MacAvaney
2025	J	`jnl`	Lost in Transliteration: Bridging the Script Gap in Neural IR. CoRR Andreas Chari, Iadh Ounis, Sean MacAvaney
2025	—	`conf`	One Size Doesn't Fit All: Predicting the Number of Examples for In-Context Learning. ECIR (1) Manish Chandra, Debasis Ganguly, Iadh Ounis
2025	J	`jnl`	Quantifying Query Fairness Under Unawareness. CoRR Thomas Jänich, Alejandro Moreo, Alessandro Fabris, Graham McDonald, Andrea Esuli, Iadh Ounis, Fabrizio Sebastiani
2025	J	`jnl`	RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation. CoRR Zeyuan Meng, Zixuan Yi, Iadh Ounis
2025	A	`conf`	RecViz: Intuitive Graph-based Visual Analytics for Dataset Exploration and Recommender System Evaluation. RecSys Jackson Dam, Zixuan Yi, Iadh Ounis
2025	J	`jnl`	Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). SIGIR Forum Johanne R. Trippas, J. Shane Culpepper, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, W. Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael D. Ekstrand, Nicola Ferro, Norbert Fuhr, Dorota Glowacka, Faegheh Hasibi, Danula Hettiachchi, Rosie Jones, Jaap Kamps, Noriko Kando, Sarvnaz Karimi, Makoto P. Kato, Bevan Koopman, Yiqun Liu, Chenglong Ma, Joel Mackenzie, Maria Maistro, Jiaxin Mao, Dana McKay, Bhaskar Mitra, Stefano Mizzaro, Alistair Moffat, Josiane Mothe, Iadh Ounis, Lida Rashidi, Yongli Ren, Mark Sanderson, Rodrygo L. T. Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Julián Urbano, Arjen P. de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Shengyao Zhuang, Justin Zobel, Guido Zuccon
2025	J	`jnl`	Triplet-Structured Knowledge Integration for Multi-Turn Medical Reasoning. CoRR Zhaohan Meng, Zaiqiao Meng, Siwei Liu, Iadh Ounis
2024	J	`jnl`	'One size doesn't fit all': Learning how many Examples to use for In-Context Learning for Improved Text Classification. CoRR Manish Chandra, Debasis Ganguly, Yiwen Li, Iadh Ounis
2024	J	`jnl`	A Directional Diffusion Graph Transformer for Recommendation. CoRR Zixuan Yi, Xi Wang, Iadh Ounis
2024	J	`jnl`	A Social-aware Gaussian Pre-trained model for effective cold-start recommendation. Inf. Process. Manag. Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis
2024	A	`conf`	A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation. RecSys Zixuan Yi, Iadh Ounis
2024	J	`jnl`	A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation. CoRR Zixuan Yi, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I ECIR (1) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II ECIR (2) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III ECIR (3) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV ECIR (4) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V ECIR (5) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`ed.`	Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part VI ECIR (6) Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis
2024	J	`jnl`	Contrastive Graph Prompt-tuning for Cross-domain Recommendation. ACM Trans. Inf. Syst. Zixuan Yi, Iadh Ounis, Craig Macdonald
2024	—	`conf`	Displaying Evolving Events Via Hierarchical Information Threads for Sensitivity Review. ECIR (5) Hitarth Narvala, Graham McDonald, Iadh Ounis
2024	—	`conf`	Effective Adhoc Retrieval Through Traversal of a Query-Document Graph. ECIR (3) Erlend Frayling, Sean MacAvaney, Craig Macdonald, Iadh Ounis
2024	A*	`conf`	Fairness-Aware Exposure Allocation via Adaptive Reranking. SIGIR Thomas Jänich, Graham McDonald, Iadh Ounis
2024	J	`jnl`	FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. CoRR Zhaohan Meng, Zaiqiao Meng, Iadh Ounis
2024	J	`jnl`	Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023. CoRR Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis
2024	—	`conf`	Improving Exposure Allocation in Rankings by Query Generation. ECIR (5) Thomas Jänich, Graham McDonald, Iadh Ounis
2024	—	`conf`	Knowledge Graph Cross-View Contrastive Learning for Recommendation. ECIR (3) Zeyuan Meng, Iadh Ounis, Craig Macdonald, Zixuan Yi
2024	A	`conf`	Knowledge-Enhanced Multi-Behaviour Contrastive Learning for Effective Recommendation. RecSys Zeyuan Meng, Zixuan Yi, Iadh Ounis
2024	J	`jnl`	Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations. Trans. Recomm. Syst. Yaxiong Wu, Craig Macdonald, Iadh Ounis
2024	—	`conf`	Query Exposure Prediction for Groups of Documents in Rankings. ECIR (2) Thomas Jänich, Graham McDonald, Iadh Ounis
2024	J	`jnl`	Query Exposure Prediction for Groups of Documents in Rankings. CoRR Thomas Jänich, Graham McDonald, Iadh Ounis
2024	J	`jnl`	Report on the 46th European Conference on Information Retrieval (ECIR 2024). SIGIR Forum Graham McDonald, Craig Macdonald, Iadh Ounis
2023	A	`conf`	'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes. CIKM Manish Chandra, Debasis Ganguly, Tulika Saha, Iadh Ounis
2023	J	`jnl`	A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation. CoRR Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis
2023	—	`conf`	ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval. ECIR (2) Thomas Jänich, Graham McDonald, Iadh Ounis
2023	J	`jnl`	ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2023	J	`jnl`	Contrastive Graph Prompt-tuning for Cross-domain Recommendation. CoRR Zixuan Yi, Iadh Ounis, Craig Macdonald
2023	—	`conf`	Effective Contrastive Weighting for Dense Query Expansion. ACL (1) Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
2023	—	`conf`	Effective Hierarchical Information Threading Using Network Community Detection. ECIR (1) Hitarth Narvala, Graham McDonald, Iadh Ounis
2023	J	`jnl`	GEO: A Computational Design Framework for Automotive Exterior Facelift. ACM Trans. Knowl. Discov. Data Jingmin Huang, Bowei Chen, Zhi Yan, Iadh Ounis, Jun Wang
2023	J	`jnl`	Generative Query Reformulation for Effective Adhoc Search. CoRR Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
2023	—	`conf`	Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023. TREC Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis
2023	A	`conf`	Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. RecSys Yaxiong Wu, Craig Macdonald, Iadh Ounis
2023	—	`conf`	Graph Contrastive Learning with Positional Representation for Recommendation. ECIR (2) Zixuan Yi, Iadh Ounis, Craig Macdonald
2023	J	`jnl`	Graph Neural Pre-training for Recommendation with Side Information. ACM Trans. Inf. Syst. Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis
2023	J	`jnl`	Identifying chronological and coherent information threads using 5W1H questions and temporal relationships. Inf. Process. Manag. Hitarth Narvala, Graham McDonald, Iadh Ounis
2023	J	`jnl`	Large Multi-modal Encoders for Recommendation. CoRR Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie
2023	—	`conf`	Multi-Task Learning of Query Generation and Classification for Generative Conversational Question Rewriting. EMNLP (Findings) Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis
2023	A*	`conf`	On the Effects of Regional Spelling Conventions in Retrieval Models. SIGIR Andreas Chari, Sean MacAvaney, Iadh Ounis
2023	J	`jnl`	On the Effects of Regional Spelling Conventions in Retrieval Models. CoRR Andreas Chari, Sean MacAvaney, Iadh Ounis
2023	A*	`conf`	Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. SIGIR Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2022	A*	`conf`	An Inspection of the Reproducibility and Replicability of TCT-ColBERT. SIGIR Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
2022	A*	`conf`	An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. SIGIR Siwei Liu, Iadh Ounis, Craig Macdonald
2022	J	`jnl`	BanditProp: Bandit Selection of Review Properties for Effective Recommendation. ACM Trans. Web Xi Wang, Iadh Ounis, Craig Macdonald
2022	B	`conf`	DVM-CAR: A Large-Scale Automotive Dataset for Visual Marketing Research and Applications. IEEE Big Data Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis
2022	—	`conf`	Effective Rating Prediction Using an Attention-Based User Review Sentiment Model. ECIR (1) Xi Wang, Iadh Ounis, Craig Macdonald
2022	J	`jnl`	Entity-Assisted Language Models for Identifying Check-worthy Sentences. CoRR Ting Su, Craig Macdonald, Iadh Ounis
2022	—	`conf`	Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022. TREC Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
2022	J	`jnl`	Improving zero-shot retrieval using dense external expansion. Inf. Process. Manag. Xiao Wang, Craig Macdonald, Iadh Ounis
2022	—	`ch.`	Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations. Technologies and Applications for Big Data Value Richard McCreadie, John Soldatos, Jonathan Fürst, Mauricio Fadel Argerich, George Kousiouris, Jean-Didier Totow, Antonio Castillo Nieto, Bernat Quesada Navidad, Dimosthenis Kyriazis, Craig Macdonald, Iadh Ounis
2022	J	`jnl`	Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter. CoRR Ting Su, Craig Macdonald, Iadh Ounis
2022	A	`conf`	Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. RecSys Yaxiong Wu, Craig Macdonald, Iadh Ounis
2022	A*	`conf`	Multi-modal Graph Contrastive Learning for Micro-video Recommendation. SIGIR Zixuan Yi, Xi Wang, Iadh Ounis, Craig Macdonald
2022	—	`conf`	Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback. CUI Yaxiong Wu, Craig Macdonald, Iadh Ounis
2022	Misc	`conf`	Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. ICTIR Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis
2022	—	`conf`	Reproducing Personalised Session Search Over the AOL Query Log. ECIR (1) Sean MacAvaney, Craig Macdonald, Iadh Ounis
2022	J	`jnl`	Reproducing Personalised Session Search over the AOL Query Log. CoRR Sean MacAvaney, Craig Macdonald, Iadh Ounis
2022	J	`jnl`	Search results diversification for effective fair ranking in academic search. Inf. Retr. J. Graham McDonald, Craig Macdonald, Iadh Ounis
2022	A	`conf`	Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. CIKM Hitarth Narvala, Graham McDonald, Iadh Ounis
2022	—	`conf`	Streamlining Evaluation with ir-measures. ECIR (2) Sean MacAvaney, Craig Macdonald, Iadh Ounis
2022	B	`conf`	The Role of Latent Semantic Categories and Clustering in Enhancing the Efficiency of Human Sensitivity Review. CHIIR Hitarth Narvala, Graham McDonald, Iadh Ounis
2022	J	`jnl`	The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. ACM Trans. Inf. Syst. Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis
2022	—	`conf`	University of Glasgow Terrier Team at the TREC 2022 Conversational Assistance Track. TREC Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis
2022	—	`conf`	University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track. TREC Thomas Jänich, Graham McDonald, Iadh Ounis
2022	—	`conf`	Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Information. CLEF Erlend Frayling, Craig Macdonald, Graham McDonald, Iadh Ounis
2022	A*	`conf`	monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering. EMNLP Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis
2021	J	`jnl`	DVM-CAR: A large-scale automotive dataset for visual marketing research and applications. CoRR Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis
2021	J	`jnl`	Explicit diversification of search results across multiple dimensions for educational search. J. Assoc. Inf. Sci. Technol. Sevgi Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Özgür Ulusoy
2021	J	`jnl`	Graph Neural Pre-training for Enhancing Recommendations using Side Information. CoRR Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis
2021	J	`jnl`	IntenT5: Search Result Diversification using Causal Language Models. CoRR Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis
2021	A*	`conf`	Leveraging Review Properties for Effective Recommendation. WWW Xi Wang, Iadh Ounis, Craig Macdonald
2021	J	`jnl`	Leveraging Review Properties for Effective Recommendation. CoRR Xi Wang, Iadh Ounis, Craig Macdonald
2021	—	`conf`	On Single and Multiple Representations in Dense Passage Retrieval. IIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2021	J	`jnl`	On Single and Multiple Representations in Dense Passage Retrieval. CoRR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2021	A	`conf`	Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. RecSys Yaxiong Wu, Craig Macdonald, Iadh Ounis
2021	Misc	`conf`	Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. ICTIR Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2021	J	`jnl`	Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. CoRR Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2021	A	`conf`	PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis
2021	—	`conf`	RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification. EMNLP (Findings) Hitarth Narvala, Graham McDonald, Iadh Ounis
2021	J	`jnl`	Streamlining Evaluation with ir-measures. CoRR Sean MacAvaney, Craig Macdonald, Iadh Ounis
2021	A*	`conf`	Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. SIGIR Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2021	J	`jnl`	The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. CoRR Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis
2021	J	`jnl`	Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2020	J	`jnl`	A Contextual Recurrent Collaborative Filtering framework for modelling sequences of venue checkins. Inf. Process. Manag. Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2020	A*	`conf`	A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng
2020	Misc	`conf`	A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. ICTIR Yaxiong Wu, Craig Macdonald, Iadh Ounis
2020	A*	`conf`	Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. SIGIR Graham McDonald, Craig Macdonald, Iadh Ounis
2020	—	`conf`	Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective. ECIR (1) Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis, Pablo Castells
2020	A	`conf`	BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang
2020	J	`jnl`	Deep Reinforced Query Reformulation for Information Retrieval. CoRR Xiao Wang, Craig Macdonald, Iadh Ounis
2020	J	`jnl`	Effective contact recommendation in social networks by adaptation of information retrieval models. Inf. Process. Manag. Javier Sanz-Cruzado, Pablo Castells, Craig Macdonald, Iadh Ounis
2020	A	`conf`	Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2020	J	`jnl`	Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2020	J	`jnl`	How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. ACM Trans. Inf. Syst. Graham McDonald, Craig Macdonald, Iadh Ounis
2020	J	`jnl`	Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis
2020	A	`conf`	Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CIKM Xi Wang, Iadh Ounis, Craig Macdonald
2020	J	`jnl`	Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CoRR Xi Wang, Iadh Ounis, Craig Macdonald
2020	A*	`conf`	Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. SIGIR Hitarth Narvala, Graham McDonald, Iadh Ounis
2020	J	`jnl`	Supervised approaches for explicit search result diversification. Inf. Process. Manag. Sevgi Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Özgür Ulusoy
2020	—	`conf`	University of Glasgow Terrier Team and UFMG at the TREC 2020 Precision Medicine Track. TREC Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2020	—	`conf`	University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track. TREC Xiao Wang, Yaxiong Wu, Xi Wang, Craig Macdonald, Iadh Ounis
2020	—	`conf`	University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track. TREC Graham McDonald, Iadh Ounis
2020	A*	`conf`	Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. SIGIR Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis
2019	—	`conf`	Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. ECIR (1) Xi Wang, Iadh Ounis, Craig Macdonald
2019	A*	`conf`	Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles. SIGIR Ting Su, Craig Macdonald, Iadh Ounis
2019	—	`conf`	Entity Detection for Check-worthiness Prediction: Glasgow Terrier at CLEF CheckThat! 2019. CLEF (Working Notes) Ting Su, Craig Macdonald, Iadh Ounis
2019	—	`conf`	Evaluating Similarity Metrics for Latent Twitter Topics. ECIR (1) Xi Wang, Anjie Fang, Iadh Ounis, Craig Macdonald
2019	A*	`conf`	Event Tracker: A Text Analytics Platform for Use During Disasters. SIGIR Charles Thomas, Richard McCreadie, Iadh Ounis
2019	J	`jnl`	Event attendance classification in social media. Inf. Process. Manag. Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times
2019	J	`jnl`	FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima
2019	B	`conf`	How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. CHIIR Graham McDonald, Craig Macdonald, Iadh Ounis
2019	—	`conf`	On Cross-Domain Transfer in Venue Recommendation. ECIR (1) Jarana Manotumruksa, Dimitrios Rafailidis, Craig Macdonald, Iadh Ounis
2019	J	`jnl`	On enhancing the robustness of timeline summarization test collections. Inf. Process. Manag. Richard McCreadie, Shahzad Rajput, Ian Soboroff, Craig Macdonald, Iadh Ounis
2019	—	`conf`	Social Regularisation in a BPR-based Venue Recommendation System. FDIA@ESSIR Siwei Liu, Iadh Ounis, Craig Macdonald
2019	J	`jnl`	The FACTS of Technology-Assisted Sensitivity Review. CoRR Graham McDonald, Craig Macdonald, Iadh Ounis
2019	Misc	`conf`	Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks. ICTIR Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis
2019	—	`conf`	University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. TREC Graham McDonald, Iadh Ounis, Craig Macdonald, Thibaut Thonet, Jean-Michel Renders
2019	—	`conf`	University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track. TREC Ting Su, Xi Wang, Craig Macdonald, Iadh Ounis
2019	J	`jnl`	Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2018	A*	`conf`	A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation. SIGIR Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2018	A	`conf`	Active Learning Strategies for Technology Assisted Sensitivity Review. ECIR Graham McDonald, Craig Macdonald, Iadh Ounis
2018	—	`conf`	Agile Information Retrieval Experimentation with Terrier Notebooks. DESIRES Craig Macdonald, Richard McCreadie, Iadh Ounis
2018	A	`conf`	An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. CIKM Anjie Fang, Iadh Ounis, Craig Macdonald, Philip Habel, Xiaoyu Xiong, Haitao Yu
2018	A*	`conf`	Automatic Ground Truth Expansion for Timeline Evaluation. SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
2018	J	`jnl`	Efficient Query Processing for Scalable Web Search. Found. Trends Inf. Retr. Nicola Tonellotto, Craig Macdonald, Iadh Ounis
2018	J	`jnl`	Explicit Diversification of Event Aspects for Temporal Summarization. ACM Trans. Inf. Syst. Richard McCreadie, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2018	—	`ch.`	Inverse Document Frequency. Encyclopedia of Database Systems (2nd ed.) Iadh Ounis
2018	A	`conf`	Learning to Geolocalise Tweets at a Fine-Grained Level. CIKM Jorge David Gonzalez Paule, Yashar Moshfeghi, Craig Macdonald, Iadh Ounis
2018	A	`conf`	On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. ECIR Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald, Iadh Ounis
2018	A	`conf`	On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. ECIR Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang
2018	J	`jnl`	Regional Sentiment Bias in Social Media Reporting During Crises. Inf. Syst. Frontiers Karin Sim Smith, Richard McCreadie, Craig Macdonald, Iadh Ounis
2018	A	`conf`	Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions. ECIR Graham McDonald, Craig Macdonald, Iadh Ounis
2018	J	`jnl`	Using word embeddings in Twitter election classification. Inf. Retr. J. Xiao Yang, Craig Macdonald, Iadh Ounis
2018	—	`ch.`	WEB Information Retrieval Models. Encyclopedia of Database Systems (2nd ed.) Craig Macdonald, Iadh Ounis
2017	A	`conf`	A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation. CIKM Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2017	A	`conf`	A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation. CIKM Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2017	A*	`conf`	A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. SIGIR Graham McDonald, Nicolás García-Pedrajas, Craig Macdonald, Iadh Ounis
2017	B	`conf`	Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter. ASONAM Karin Sim Smith, Richard McCreadie, Craig Macdonald, Iadh Ounis
2017	A*	`conf`	Efficient & Effective Selective Query Rewriting with Efficiency Predictions. SIGIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2017	A	`conf`	Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings. ECIR Graham McDonald, Craig Macdonald, Iadh Ounis
2017	B	`conf`	Exploring Social Media for Event Attendance. ASONAM Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times
2017	A	`conf`	Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data. ECIR Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel, Xiao Yang
2017	J	`jnl`	Inferring Conceptual Relationships When Ranking Patients. CoRR Nut Limsopatham, Craig Macdonald, Iadh Ounis
2017	A	`conf`	Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks. ECIR Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2017	Misc	`conf`	On the Additivity and Weak Baselines for Search Result Diversification Research. ICTIR Mehmet Akcay, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis
2017	J	`jnl`	Report on the Information Retrieval Festival (IRFest2017). SIGIR Forum Leif Azzopardi, Craig Macdonald, Iadh Ounis, Martin Halvey
2017	B	`conf`	Transfer Learning for Multi-language Twitter Election Classification. ASONAM Xiao Yang, Richard McCreadie, Craig Macdonald, Iadh Ounis
2016	A	`conf`	Comparing Overall and Targeted Sentiments in Social Media during Crises. ICWSM Saul Vargas, Richard McCreadie, Craig Macdonald, Iadh Ounis
2016	A*	`conf`	EAIMS: Emergency Analysis Identification and Management System. SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
2016	J	`jnl`	Emergency Identification and Analysis with EAIMS. CoRR Richard McCreadie, Craig Macdonald, Iadh Ounis
2016	A*	`conf`	Enhancing First Story Detection using Word Embeddings. SIGIR Sean Moran, Richard McCreadie, Craig Macdonald, Iadh Ounis
2016	A*	`conf`	Examining the Coherence of the Top Ranked Tweet Topics. SIGIR Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel
2016	A	`conf`	Experiments in Newswire Summarisation. ECIR Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
2016	J	`jnl`	Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation. CoRR Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2016	—	`conf`	NTCIR-12 MathIR Task Overview. NTCIR Richard Zanibbi, Akiko Aizawa, Michael Kohlhase, Iadh Ounis, Goran Topic, Kenny Davila
2016	—	`conf`	Predicting Contextually Appropriate Venues in Location-Based Social Networks. CLEF Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2016	A	`conf`	Regularising Factorised Models for Venue Recommendation using Friends and their Comments. CIKM Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2016	A*	`conf`	Risk-Sensitive Evaluation and Learning to Rank using Multiple Baselines. SIGIR Bekir Taner Dinçer, Craig Macdonald, Iadh Ounis
2016	A	`conf`	Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data. ECIR Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel
2016	—	`conf`	University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions. TREC Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2016	A*	`conf`	Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. SIGIR Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel
2016	J	`jnl`	Using Word Embeddings in Twitter Election Classification. CoRR Xiao Yang, Craig Macdonald, Iadh Ounis
2015	—	`conf`	Analysing Compression Techniques for In-Memory Collaborative Filtering. RecSys Posters Saúl Vargas, Craig Macdonald, Iadh Ounis
2015	A*	`conf`	Comparing Approaches for Query Autocompletion. SIGIR Giovanni Di Santo, Richard McCreadie, Craig Macdonald, Iadh Ounis
2015	—	`conf`	Crowdsourced Rumour Identification During Emergencies. WWW (Companion Volume) Richard McCreadie, Craig Macdonald, Iadh Ounis
2015	A	`conf`	Experiments with a Venue-Centric Model for Personalisedand Time-Aware Venue Suggestion. CIKM Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis
2015	A	`conf`	Generalized Team Draft Interleaving. CIKM Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
2015	A	`conf`	Modelling the Usefulness of Document Collections for Query Expansion in Patient Search. CIKM Nut Limsopatham, Craig Macdonald, Iadh Ounis
2015	A*	`conf`	Optimised Scheduling of Online Experiments. SIGIR Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
2015	—	`ed.`	Proceedings of the ACM First International Workshop on Understanding the City with Urban Informatics, UCUI 2015, Melbourne, Australia, October 19, 2015 UCUI@CIKM Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah
2015	J	`jnl`	Queuing Theory-based Latency/Power Tradeoff Models for Replicated Search Engines. J. Univers. Comput. Sci. Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda
2015	—	`conf`	SUPER: Towards the use of Social Sensors for Security Assessments and Proactive Management of Emergencies. WWW (Companion Volume) Richard McCreadie, Karolin Kappler, Andreas Kaltenbrunner, Magdalini Kardara, Craig Macdonald, John Soldatos, Iadh Ounis
2015	J	`jnl`	Search Result Diversification. Found. Trends Inf. Retr. Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2015	A	`conf`	Semi-Automated Text Classification for Sensitivity Identification. CIKM Giacomo Berardi, Andrea Esuli, Craig Macdonald, Iadh Ounis, Fabrizio Sebastiani
2015	A*	`conf`	Sequential Testing for Early Stopping of Online Experiments. SIGIR Eugene Kharitonov, Aleksandr Vorobev, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
2015	—	`conf`	Suggestion contextuelle composite. CORIA Thibaut Thonet, Romain Deveaud, Iadh Ounis, Craig Macdonald
2015	—	`conf`	Topic-centric Classification of Twitter User's Political Orientation. FDIA Anjie Fang, Iadh Ounis, Philip Habel, Craig Macdonald, Nut Limsopatham
2015	A*	`conf`	Topic-centric Classification of Twitter User's Political Orientation. SIGIR Anjie Fang, Iadh Ounis, Philip Habel, Craig Macdonald, Nut Limsopatham
2015	Misc	`conf`	Transferring Learning To Rank Models for Web Search. ICTIR Craig Macdonald, Bekir Taner Dinçer, Iadh Ounis
2015	A	`conf`	Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. ICWSM Graham McDonald, Romain Deveaud, Richard McCreadie, Craig Macdonald, Iadh Ounis
2015	A	`conf`	UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics. CIKM Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah
2015	—	`conf`	University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. TREC Richard McCreadie, Saul Vargas, Craig Macdonald, Iadh Ounis, Stuart Mackie, Jarana Manotumruksa, Graham McDonald
2015	Misc	`conf`	Using Part-of-Speech N-grams for Sensitive-Text Classification. ICTIR Graham McDonald, Craig Macdonald, Iadh Ounis
2015	A*	`conf`	Using Sensor Metadata Streams to Identify Topics of Local Events in the City. SIGIR M-Dyaa Albakour, Craig Macdonald, Iadh Ounis
2014	—	`conf`	A Study of Personalised Medical Literature Search. CLEF Richard McCreadie, Craig Macdonald, Iadh Ounis, Jon Brassey
2014	A	`conf`	A self-adapting latency/power tradeoff model for replicated search engines. WSDM Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda
2014	—	`conf`	Comparing Algorithms for Microblog Summarisation. CLEF Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
2014	A	`conf`	Detecting Missing Content Queries in an SMS-Based HIV/AIDS FAQ Retrieval System. ECIR Edwin Thuma, Simon Rogers, Iadh Ounis
2014	—	`conf`	Diversifying contextual suggestions from location-based social networks. IIiX M-Dyaa Albakour, Romain Deveaud, Craig Macdonald, Iadh Ounis
2014	—	`conf`	Drowning in Data: On Big Data Streams in IR for Detecting, Tracking and Summarising Events on Twitter. CORIA-CIFED Iadh Ounis
2014	A*	`conf`	Hypothesis testing for the risk-sensitive evaluation of retrieval systems. SIGIR Bekir Taner Dinçer, Craig Macdonald, Iadh Ounis
2014	A	`conf`	Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. CIKM Richard McCreadie, Craig Macdonald, Iadh Ounis
2014	A	`conf`	Information Access in Smart Cities (i-ASC). ECIR M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Charles L. A. Clarke, Veli Bicer
2014	A	`conf`	Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients. CIKM Nut Limsopatham, Craig Macdonald, Iadh Ounis
2014	—	`conf`	NTCIR-11 Math-2 Task Overview. NTCIR Akiko Aizawa, Michael Kohlhase, Iadh Ounis, Moritz Schubotz
2014	A	`conf`	On Inverted Index Compression for Search Engine Efficiency. ECIR Matteo Catena, Craig Macdonald, Iadh Ounis
2014	—	`conf`	On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. PIR@SIGIR Timothy Gollins, Graham McDonald, Craig Macdonald, Iadh Ounis
2014	—	`conf`	On choosing an effective automatic evaluation metric for microblog summarisation. IIiX Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
2014	A	`conf`	On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions. CIKM Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis
2014	—	`conf`	Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. ACL (System Demonstrations) Miles Osborne, Sean Moran, Richard McCreadie, Alexander von Lünen, Martin D. Sykora, Amparo Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien
2014	J	`jnl`	Report on the 1st International Workshop on Information Access in Smart Cities (i-ASC 2014). SIGIR Forum M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Charles L. A. Clarke, Veli Bicer
2014	A	`conf`	SmartVenues: Recommending Popular and Personalised Venues in a City. CIKM Romain Deveaud, M-Dyaa Albakour, Jarana Manotumruksa, Craig Macdonald, Iadh Ounis
2014	A	`conf`	Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems. ECIR Bekir Taner Dinçer, Iadh Ounis, Craig Macdonald
2014	A	`conf`	Towards a Classifier for Digital Sensitivity Review. ECIR Graham McDonald, Craig Macdonald, Iadh Ounis, Timothy Gollins
2014	—	`conf`	University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task. CLEF (Working Notes) Graham McDonald, Romain Deveaud, Richard McCreadie, Timothy Gollins, Craig Macdonald, Iadh Ounis
2014	—	`conf`	University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. TREC Richard McCreadie, Romain Deveaud, M-Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Thibaut Thonet, Bekir Taner Dinçer
2013	A	`conf`	A Task-Specific Query and Document Representation for Medical Records Search. ECIR Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013	J	`jnl`	About learning models with multiple query-dependent features. ACM Trans. Inf. Syst. Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis, Ben He
2013	A	`conf`	Aggregating Evidence from Hospital Departments to Improve Medical Records Search. ECIR Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013	A	`conf`	Can Twitter Replace Newswire for Breaking News? ICWSM Sasa Petrovic, Miles Osborne, Richard McCreadie, Craig Macdonald, Iadh Ounis, Luke Shrimpton
2013	A	`conf`	Efficient and effective retrieval using selective pruning. WSDM Nicola Tonellotto, Craig Macdonald, Iadh Ounis
2013	—	`conf`	Evaluating bad query abandonment in an iterative SMS-based FAQ retrieval system. OAIR Edwin Thuma, Simon Rogers, Iadh Ounis
2013	C	`conf`	Exploiting Query Logs and Field-Based Models to Address Term Mismatch in an HIV/AIDS FAQ Retrieval System. NLDB Edwin Thuma, Simon Rogers, Iadh Ounis
2013	A	`conf`	Hybrid Query Scheduling for a Replicated Search Engine. ECIR Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda
2013	—	`conf`	Identifying local events by using microblogs as social sensors. OAIR M-Dyaa Albakour, Craig Macdonald, Iadh Ounis
2013	J	`jnl`	Identifying top news using crowdsourcing. Inf. Retr. Richard McCreadie, Craig Macdonald, Iadh Ounis
2013	—	`conf`	Inferring conceptual relationships to improve medical records search. OAIR Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013	J	`jnl`	Intent Models for Contextualising and Diversifying Query Suggestions. CoRR Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
2013	A	`conf`	Intent models for contextualising and diversifying query suggestions. CIKM Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
2013	A*	`conf`	Learning to combine representations for medical records search. SIGIR Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013	A	`conf`	Learning to handle negated language in medical records search. CIKM Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013	J	`jnl`	Learning to rank query suggestions for adhoc and diversity search. Inf. Retr. Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2013	A	`conf`	Learning to selectively rank patients' medical history. CIKM Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013	A	`conf`	Load-sensitive selective pruning for distributed search. CIKM Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto
2013	J	`jnl`	Modelling efficient novelty-based search result diversification in metric spaces. J. Discrete Algorithms Veronica Gil-Costa, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2013	—	`conf`	NTCIR-10 Math Pilot Task Overview. NTCIR Akiko Aizawa, Michael Kohlhase, Iadh Ounis
2013	A*	`conf`	News vertical search: when and what to display to users. SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
2013	A	`conf`	On sparsity and drift for effective real-time filtering in microblogs. CIKM M-Dyaa Albakour, Craig Macdonald, Iadh Ounis
2013	C	`conf`	Query Processing in Highly-Loaded Search Engines. SPIRE Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto
2013	—	`conf`	Scalable distributed event detection for Twitter. IEEE BigData Richard McCreadie, Craig Macdonald, Iadh Ounis, Miles Osborne, Sasa Petrovic
2013	—	`conf`	Selecting effective expansion terms for diversity. OAIR Saul Vargas, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2013	J	`jnl`	The whens and hows of learning to rank for web search. Inf. Retr. Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis
2013	—	`conf`	University of Glasgow at CLEF 2013: Experiments in eHealth Task 3 with Terrier. CLEF (Working Notes) Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013	—	`conf`	University of Glasgow at TREC 2013: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. TREC Richard McCreadie, M-Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Bekir Taner Dinçer
2013	A*	`conf`	User model-based metrics for offline query suggestion evaluation. SIGIR Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
2013	A	`conf`	Using historical click data to increase interleaving sensitivity. CIKM Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
2012	A	`conf`	An examination of content farms in web search using crowdsourcing. CIKM Richard McCreadie, Craig Macdonald, Iadh Ounis, Jim Giles, Ferris Jabr
2012	A*	`conf`	CrowdTerrier: automatic crowdsourced relevance assessments with terrier. SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
2012	A*	`conf`	Effect of dynamic pruning safety on learning to rank effectiveness. SIGIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2012	A	`conf`	Evaluating Real-Time Search over Tweets. ICWSM Dean McCullough, Jimmy Lin, Craig Macdonald, Iadh Ounis, Richard McCreadie
2012	A*	`conf`	Exploiting term dependence while handling negation in medical search. SIGIR Nut Limsopatham, Craig Macdonald, Richard McCreadie, Iadh Ounis
2012	—	`conf`	From Puppy to Maturity: Experiences in Developing Terrier. OSIR@SIGIR Craig Macdonald, Richard McCreadie, Rodrygo L. T. Santos, Iadh Ounis
2012	J	`jnl`	Information Retrieval on the Blogosphere. Found. Trends Inf. Retr. Rodrygo L. T. Santos, Craig Macdonald, Richard McCreadie, Iadh Ounis, Ian Soboroff
2012	A*	`conf`	Learning to predict response times for online query scheduling. SIGIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2012	J	`jnl`	MapReduce indexing strategies: Studying scalability and efficiency. Inf. Process. Manag. Richard McCreadie, Craig Macdonald, Iadh Ounis
2012	—	`conf`	Multimedia search over integrated social and sensor networks. WWW (Companion Volume) John Soldatos, Moez Draief, Craig Macdonald, Iadh Ounis
2012	A*	`conf`	On building a reusable Twitter corpus. SIGIR Richard McCreadie, Ian Soboroff, Jimmy Lin, Craig Macdonald, Iadh Ounis, Dean McCullough
2012	J	`jnl`	On the role of novelty for search result diversification. Inf. Retr. Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2012	A	`conf`	On the usefulness of query features for learning to rank. CIKM Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis
2012	J	`jnl`	Open source information petrieval: a report on the SIGIR 2012 workshop. SIGIR Forum Andrew Trotman, Charles L. A. Clarke, Iadh Ounis, J. Shane Culpepper, Marc-Allen Cartright, Shlomo Geva
2012	—	`conf`	Overview of the TREC-2012 Microblog Track. TREC Ian Soboroff, Iadh Ounis, Craig Macdonald, Jimmy Lin
2012	—	`ed.`	Proceedings of the SIGIR 2012 Workshop on Open Source Information Retrieval, OSIR@SIGIR 2012, Portland, Oregon, USA, 16th August 2012 Andrew Trotman, Charles L. A. Clarke, Iadh Ounis, J. Shane Culpepper, Marc-Allen Cartright, Shlomo Geva
2012	—	`conf`	SMART: An Open Source Framework for Searching the Physical World. OSIR@SIGIR M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Aristodemos Pnevmatikakis, John Soldatos
2012	A*	`conf`	Scheduling queries across replicas. SIGIR Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda
2012	—	`conf`	University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks. TREC Nut Limsopatham, Richard McCreadie, M-Dyaa Albakour, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis
2011	C	`conf`	A Learned Approach for Ranking News in Real-Time Using the Blogosphere. SPIRE Richard McCreadie, Craig Macdonald, Iadh Ounis
2011	Misc	`conf`	Aggregated Search Result Diversification. ICTIR Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	A*	`conf`	Disambiguating biomedical acronyms using EMIM. SIGIR Nut Limsopatham, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	A*	`conf`	Effect of different docid orderings on dynamic pruning retrieval strategies. SIGIR Nicola Tonellotto, Craig Macdonald, Iadh Ounis
2011	A	`conf`	Effectiveness beyond the first crawl tier. CIKM Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	A*	`conf`	How diverse are web search results? SIGIR Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	A*	`conf`	Intent-aware search result diversification. SIGIR Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	A	`conf`	Learning Models for Ranking Aggregates. ECIR Craig Macdonald, Iadh Ounis
2011	J	`jnl`	Mimicking Web search engines for expert search. Inf. Process. Manag. Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	Misc	`conf`	On Upper Bounds for Dynamic Pruning. ICTIR Craig Macdonald, Nicola Tonellotto, Iadh Ounis
2011	A*	`conf`	On the suitability of diversity metrics for learning-to-rank for diversity. SIGIR Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	—	`conf`	Overview of the TREC 2011 Microblog Track. TREC Iadh Ounis, Craig Macdonald, Jimmy Lin, Ian Soboroff
2011	A	`ed.`	Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011 CIKM Craig Macdonald, Iadh Ounis, Ian Ruthven
2011	Misc	`conf`	Protocol-Driven Searches for Medical and Health-Sciences Systematic Reviews. ICTIR Matt-Mouley Bouamrane, Craig Macdonald, Iadh Ounis, Frances S. Mair
2011	C	`conf`	Sparse Spatial Selection for Novelty-Based Search Result Diversification. SPIRE Veronica Gil-Costa, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	J	`jnl`	The influence of the document ranking in expert search. Inf. Process. Manag. Craig Macdonald, Iadh Ounis
2011	—	`conf`	University of Glasgow at Medical Records Track: Experiments with Terrier. TREC Nut Limsopatham, Craig Macdonald, Iadh Ounis, Graham McDonald, Matt-Mouley Bouamrane
2011	—	`conf`	University of Glasgow at TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks. TREC Richard McCreadie, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis
2011	—	`conf`	University of Glasgow at the NTCIR-9 Intent task: Experiments with Terrier on Subtopic Mining and Document Ranking. NTCIR Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2011	J	`jnl`	Upper-bound approximations for dynamic pruning. ACM Trans. Inf. Syst. Craig Macdonald, Iadh Ounis, Nicola Tonellotto
2010	J	`jnl`	Blog track research at TREC. SIGIR Forum Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis, Ian Soboroff
2010	—	`conf`	Collaborative Editing and Linking of Astronomy Vocabularies Using Semantic Mediawiki. SemWiki@ESWC Stuart Chalmers, Norman Gray, Iadh Ounis, Alasdair J. G. Gray
2010	—	`conf`	Efficient Dynamic Pruning with Proximity Support. LSDS-IR@SIGIR Nicola Tonellotto, Craig Macdonald, Iadh Ounis
2010	A	`conf`	Explicit Search Result Diversification through Sub-queries. ECIR Rodrygo L. T. Santos, Jie Peng, Craig Macdonald, Iadh Ounis
2010	A*	`conf`	Exploiting query reformulations for web search result diversification. WWW Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2010	J	`jnl`	Finding the right term: Retrieving and exploring semantic concepts in astronomical vocabularies. Inf. Process. Manag. Alasdair J. G. Gray, Norman Gray, Christopher W. Hall, Iadh Ounis
2010	A	`conf`	Learning to Select a Ranking Function. ECIR Jie Peng, Craig Macdonald, Iadh Ounis
2010	—	`conf`	News article ranking: leveraging the wisdom of bloggers. RIAO Richard McCreadie, Craig Macdonald, Iadh Ounis
2010	—	`conf`	Overview of the TREC 2010 Blog Track. TREC Iadh Ounis, Ian Soboroff
2010	A	`conf`	Selectively diversifying web search results. CIKM Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2010	—	`conf`	University of Glasgow at TREC 2010: Experiments with Terrier in Blog and Web Tracks. TREC Rodrygo L. T. Santos, Richard McCreadie, Craig Macdonald, Iadh Ounis
2010	—	`conf`	Voting for related entities. RIAO Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2009	A	`conf`	A study of selective collection enrichment for enterprise search. CIKM Jie Peng, Craig Macdonald, Ben He, Iadh Ounis
2009	C	`conf`	Browsing Recommendation Based on the Intertemporal Choice Model. FQAS Azreen Azman, Iadh Ounis
2009	B	`conf`	Can RDB2RDF Tools Feasibily Expose Large Science Archives for Data Integration?. ESWC Alasdair J. G. Gray, Norman Gray, Iadh Ounis
2009	—	`conf`	Comparing Distributed Indexing: To MapReduce or Not? LSDS-IR@SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
2009	A	`conf`	Finding good feedback documents. CIKM Ben He, Iadh Ounis
2009	A*	`conf`	Fitting score distribution for blog opinion retrieval. SIGIR Ben He, Jie Peng, Iadh Ounis
2009	A	`conf`	Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval. ECIR Rodrygo L. T. Santos, Ben He, Craig Macdonald, Iadh Ounis
2009	—	`ch.`	Inverse Document Frequency. Encyclopedia of Database Systems Iadh Ounis
2009	A*	`conf`	Is spam an issue for opinionated blog post search? SIGIR Craig Macdonald, Iadh Ounis, Ian Soboroff
2009	A*	`conf`	On perfect document rankings for expert search. SIGIR Craig Macdonald, Iadh Ounis
2009	A*	`conf`	On single-pass indexing with MapReduce. SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
2009	—	`conf`	Overview of the TREC 2009 Blog Track. TREC Craig Macdonald, Iadh Ounis, Ian Soboroff
2009	Misc	`conf`	Predicting the Usefulness of Collection Enrichment for Enterprise Search. ICTIR Jie Peng, Ben He, Iadh Ounis
2009	J	`jnl`	Searching for Expertise: Experiments with the Voting Model. Comput. J. Craig Macdonald, Iadh Ounis
2009	A	`conf`	Selective Application of Query-Independent Features in Web Information Retrieval. ECIR Jie Peng, Iadh Ounis
2009	A	`conf`	Studying Query Expansion Effectiveness. ECIR Ben He, Iadh Ounis
2009	A	`conf`	The influence of the document ranking in expert search. CIKM Craig Macdonald, Iadh Ounis
2009	—	`conf`	University of Glasgow at TREC 2009: Experiments with Terrier. TREC Richard McCreadie, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L. T. Santos
2009	—	`conf`	Usefulness of quality click-through data for training. WSCD@WSDM Craig Macdonald, Iadh Ounis
2009	—	`ch.`	WEB Information Retrieval Models. Encyclopedia of Database Systems Craig Macdonald, Iadh Ounis
2008	J	`jnl`	30 SIGIR Forum Iadh Ounis, Ian Ruthven, Vassilis Plachouras
2008	J	`jnl`	A syntactically-based query reformulation technique for information retrieval. Inf. Process. Manag. Christina Lioma, Iadh Ounis
2008	A	`ed.`	Advances in Information Retrieval , 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008. Proceedings ECIR Craig Macdonald, Iadh Ounis, Vassilis Plachouras, Ian Ruthven, Ryen W. White
2008	A	`conf`	An effective statistical approach to blog post opinion retrieval. CIKM Ben He, Craig Macdonald, Jiyin He, Iadh Ounis
2008	A	`conf`	Analysis of Link Graph Compression Techniques. ECIR David Hannah, Craig Macdonald, Iadh Ounis
2008	A*	`conf`	Automatic document prior feature selection for web retrieval. SIGIR Jie Peng, Craig Macdonald, Iadh Ounis
2008	A	`conf`	Expert Search Evaluation by Supporting Documents. ECIR Craig Macdonald, Iadh Ounis
2008	—	`conf`	Finding Data Resources in a Virtual Observatory Using SKOS Vocabularies. BNCOD Alasdair J. G. Gray, Norman Gray, Iadh Ounis
2008	A	`conf`	High Quality Expertise Evidence for Expert Search. ECIR Craig Macdonald, David Hannah, Iadh Ounis
2008	A	`conf`	Key blog distillation: ranking aggregates. CIKM Craig Macdonald, Iadh Ounis
2008	A*	`conf`	Limits of opinion-finding baseline systems. SIGIR Craig Macdonald, Ben He, Iadh Ounis, Ian Soboroff
2008	A	`conf`	On the TREC Blog Track. ICWSM Iadh Ounis, Craig Macdonald, Ian Soboroff
2008	—	`conf`	Overview of the TREC 2008 Blog Track. TREC Iadh Ounis, Craig Macdonald, Ian Soboroff
2008	A*	`conf`	Ranking opinionated blog posts using OpinionFinder. SIGIR Ben He, Craig Macdonald, Iadh Ounis
2008	A*	`conf`	Retrieval sensitivity under training using different measures. SIGIR Ben He, Craig Macdonald, Iadh Ounis
2008	—	`conf`	University of Glasgow at TREC 2008: Experiments in Blog, Enterprise, and Relevance Feedback Tracks with Terrier. TREC Ben He, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L. T. Santos
2008	J	`jnl`	Voting techniques for expert search. Knowl. Inf. Syst. Craig Macdonald, Iadh Ounis
2007	A	`conf`	Combination of Document Priors in Web Information Retrieval. ECIR Jie Peng, Iadh Ounis
2007	—	`conf`	Combination of Document Priors in Web Information Retrieval. RIAO Jie Peng, Craig Macdonald, Ben He, Iadh Ounis
2007	J	`jnl`	Combining fields for query expansion and adaptive query expansion. Inf. Process. Manag. Ben He, Iadh Ounis
2007	A	`conf`	Expertise drift and query expansion in expert search. CIKM Craig Macdonald, Iadh Ounis
2007	C	`conf`	Extending Weighting Models with a Term Quality Measure. SPIRE Christina Lioma, Iadh Ounis
2007	A*	`conf`	Incorporating term dependency in the dfr framework. SIGIR Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis
2007	A	`conf`	Light Syntactically-Based Index Pruning for Information Retrieval. ECIR Christina Lioma, Iadh Ounis
2007	A	`conf`	Multinomial Randomness Models for Retrieval with Document Fields. ECIR Vassilis Plachouras, Iadh Ounis
2007	J	`jnl`	On setting the hyper-parameters of term frequency normalization for information retrieval. ACM Trans. Inf. Syst. Ben He, Iadh Ounis
2007	—	`conf`	Overview of the TREC 2007 Blog Track. TREC Craig Macdonald, Iadh Ounis, Ian Soboroff
2007	A	`conf`	Parameter sensitivity in the probabilistic model for ad-hoc retrieval. CIKM Ben He, Iadh Ounis
2007	A	`conf`	Performance Comparison of Clustered and Replicated Information Retrieval Systems. ECIR Fidel Cacheda, Victor Carneiro, Vassilis Plachouras, Iadh Ounis
2007	J	`jnl`	Performance analysis of distributed information retrieval architectures using an improved network simulation model. Inf. Process. Manag. Fidel Cacheda, Victor Carneiro, Vassilis Plachouras, Iadh Ounis
2007	A	`conf`	Setting Per-field Normalisation Hyper-parameters for the Named-Page Finding Search Task. ECIR Ben He, Iadh Ounis
2007	—	`conf`	University of Glasgow at TREC 2007: Experiments in Blog and Enterprise Tracks with Terrier. TREC David Hannah, Craig Macdonald, Jie Peng, Ben He, Iadh Ounis
2007	A	`conf`	Using Relevance Feedback in Expert Search. ECIR Craig Macdonald, Iadh Ounis
2007	J	`jnl`	Web Information Retrieval. J. Digit. Inf. Manag. Iadh Ounis, Keith van Rijsbergen, Pit Pichappan
2006	J	`jnl`	A decision mechanism for the selective combination of evidence in topic distillation. Inf. Retr. Vassilis Plachouras, Fidel Cacheda, Iadh Ounis
2006	A*	`conf`	Combining fields in known-item email search. SIGIR Craig Macdonald, Iadh Ounis
2006	A*	`conf`	Examining the Content Load of Part of Speech Blocks for Information Retrieval. ACL Christina Lioma, Iadh Ounis
2006	—	`conf`	Overview of the TREC 2006 Blog Track. TREC Iadh Ounis, Craig Macdonald, Maarten de Rijke, Gilad Mishne, Ian Soboroff
2006	J	`jnl`	Query performance prediction. Inf. Syst. Ben He, Iadh Ounis
2006	J	`jnl`	Query reformulation using automatically generated query concepts from a document space. Inf. Process. Manag. Youjin Chang, Iadh Ounis, Minkoo Kim
2006	A*	`conf`	Searching for expertise using the terrier platform. SIGIR Craig Macdonald, Iadh Ounis
2006	—	`conf`	University of Glasgow at TREC 2006: Experiments in Terabyte and Enterprise Tracks with Terrier. TREC Christina Lioma, Craig Macdonald, Vassilis Plachouras, Jie Peng, Ben He, Iadh Ounis
2006	A	`conf`	Voting for candidates: adapting data fusion techniques for an expert search task. CIKM Craig Macdonald, Iadh Ounis
2005	J	`jnl`	A case study of distributed information retrieval architectures to index one terabyte of text. Inf. Process. Manag. Fidel Cacheda, Vassilis Plachouras, Iadh Ounis
2005	A*	`conf`	A study of the dirichlet priors for term frequency normalisation. SIGIR Ben He, Iadh Ounis
2005	J	`jnl`	ACM SIGIR workshop on mathematical/formal methods in information retrieval MF/IR 2005. SIGIR Forum Sándor Dominich, Iadh Ounis, Jian-Yun Nie
2005	—	`conf`	Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. CLEF Christina Lioma, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis
2005	—	`conf`	Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. CLEF (Working Notes) Christina Lioma, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis
2005	J	`jnl`	Automatically Building a Stopword List for an Information Retrieval System. J. Digit. Inf. Manag. Rachel Tsz-Wai Lo, Ben He, Iadh Ounis
2005	J	`jnl`	Dempster-Shafer Theory for a Query-Biased Combination of Evidence on the Web. Inf. Retr. Vassilis Plachouras, Iadh Ounis
2005	—	`conf`	Deploying Part-of-Speech Patterns to Enhance Statistical Phrase-Based Machine Translation Resources. ParallelText@ACL Christina Lioma, Iadh Ounis
2005	A	`conf`	Network Analysis for Distributed Information Retrieval Architectures. ECIR Fidel Cacheda, Victor Carneiro, Vassilis Plachouras, Iadh Ounis
2005	A	`conf`	Term Frequency Normalisation Tuning for BM25 and DFR Models. ECIR Ben He, Iadh Ounis
2005	A	`conf`	Terrier Information Retrieval Platform. ECIR Iadh Ounis, Gianni Amati, Vassilis Plachouras, Ben He, Craig Macdonald, Douglas Johnson
2005	J	`jnl`	The Static Absorbing Model for the Web. J. Web Eng. Vassilis Plachouras, Iadh Ounis, Gianni Amati
2005	—	`conf`	University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise Tracks with Terrier. TREC Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis
2005	—	`conf`	University of Glasgow at WebCLEF 2005: Experiments in Per-Field Normalisation and Language Specific Stemming. CLEF Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma, Iadh Ounis
2005	—	`conf`	University of Glasgow at WebCLEF 2005: Experiments in per-field Normalisation and Language Specific Stemming. CLEF (Working Notes) Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma, Iadh Ounis
2004	—	`conf`	A Query-based Pre-retrieval Model Selection Approach to Information Retrieval. RIAO Ben He, Iadh Ounis
2004	C	`conf`	Construction of Query Concepts in a Document Space Based on Data Mining Techniques. FQAS Youjin Chang, Minkoo Kim, Iadh Ounis
2004	A*	`conf`	Discovery of aggregate usage profiles based on clustering information needs. SIGIR Azreen Azman, Iadh Ounis
2004	—	`conf`	Distribution of relevant documents in domain-level aggregates for topic distillation. WWW (Alternate Track Papers & Posters) Vassilis Plachouras, Iadh Ounis
2004	—	`conf`	Gauging Students' Understanding Through Interactive Lectures. BNCOD Helen C. Purchase, Christopher Mitchell, Iadh Ounis
2004	C	`conf`	Inferring Query Performance Using Pre-retrieval Predictors.. SPIRE Ben He, Iadh Ounis
2004	A	`conf`	Performance Analysis of Distributed Architectures to Index One Terabyte of Text. ECIR Fidel Cacheda, Vassilis Plachouras, Iadh Ounis
2004	—	`conf`	Selective Combination of Evidence for Topic Distillation using Document and Aggregate-level Information. RIAO Vassilis Plachouras, Iadh Ounis, Fidel Cacheda
2004	—	`conf`	The University of Glasgow at CLEF 2004: French Monolingual Information Retrieval with Terrier. CLEF (Working Notes) Christina Lioma, Ben He, Vassilis Plachouras, Iadh Ounis
2004	—	`conf`	The University of Glasgow at CLEF 2004: French Monolingual Information Retrieval with Terrier. CLEF Christina Lioma, Ben He, Vassilis Plachouras, Iadh Ounis
2004	—	`conf`	University of Glasgow at TREC 2004: Experiments in Web, Robust, and Terabyte Tracks with Terrier. TREC Vassilis Plachouras, Ben He, Iadh Ounis
2004	A*	`conf`	Usefulness of hyperlink structure for query-biased topic distillation. SIGIR Vassilis Plachouras, Iadh Ounis
2003	—	`conf`	A Utility-Oriented Hyperlink Analysis Model for the Web. LA-WEB Vassilis Plachouras, Iadh Ounis, Gianni Amati
2003	A	`conf`	A Weighting Scheme for Star-Graphs. ECIR Jean Martinet, Iadh Ounis, Yves Chiaramella, Philippe Mulhem
2003	A	`conf`	A study of parameter tuning for term frequency normalization. CIKM Ben He, Iadh Ounis
2003	—	`conf`	Information Theoretic Query Context Detection for Web Information Retrieval. ICWI Vassilis Plachouras, Iadh Ounis
2003	J	`jnl`	Report on ACM SIGIR workshop on "semantic web" SWIR 2003. SIGIR Forum Ying Ding, Cornelis Joost van Rijsbergen, Iadh Ounis, Joemon M. Jose
2003	—	`conf`	University of Glasgow at the Robust Track- A Query-based Model Selection Approach for the Poorly-Performing Queries. TREC Ben He, Iadh Ounis
2003	—	`conf`	University of Glasgow at the Web Track: Dynamic Application of Hyperlink Analysis using the Query Scope. TREC Vassilis Plachouras, Iadh Ounis, Cornelis Joost van Rijsbergen, Fidel Cacheda
2002	A	`conf`	Building Bilingual Dictionaries from Parallel Web Documents. ECIR Craig J. A. McEwan, Iadh Ounis, Ian Ruthven
2002	—	`conf`	University of Glasgow at the Web Track of TREC 2002. TREC Vassilis Plachouras, Iadh Ounis, Gianni Amati, C. J. van Rijsbergen
2002	—	`conf`	Using Hierarchical Clustering and Summarisation Approaches for Web Retrieval: Glasgow at the TREC 2002 Interactive Track. TREC Richard Osdin, Iadh Ounis, Ryen W. White
2001	—	`conf`	Evaluating Summarisation Technologies: A Task Oriented Approach. NDDL Paul McLellan, Anastasios Tombros, Joemon M. Jose, Iadh Ounis, Miles Whitehead
2000	J	`jnl`	Conceptual Graphs and First Order Logic. Comput. J. Gianni Amati, Iadh Ounis
2000	A*	`conf`	Ranking digital images using combination if evidences. SIGIR Iadh Ounis
2000	C	`conf`	Toward a User-Centered Image Retrieval System. DEXA Iadh Ounis
1999	C	`conf`	A Flexible Weighting Scheme for Multimedia Documents. DEXA Iadh Ounis
1998	C	`conf`	A Promising Retrieval Algorithm for Systems Based on the Conceptual Graphs Formalism. IDEAS Iadh Ounis, Marius Pasca
1998	—	`conf`	Effective and Efficient Relational Query Processing Using Conceptual Graphs. BCS-IRSG Annual Colloquium on IR Research Iadh Ounis, Marius Pasca
1998	C	`conf`	Modeling, Indexing and Retrieving Images Using Conceptual Graphs. DEXA Iadh Ounis, Marius Pasca
1998	B	`conf`	Organizing conceptual graphs for fast knowledge retrieval. ICTAI Iadh Ounis
1998	A*	`conf`	RELIEF: Combining Expressiveness and Rapidity into a Single System. SIGIR Iadh Ounis, Marius Pasca
1998	A*	`conf`	Towards a Fast Precision-Oriented Image Retrieval System. SIGIR Yves Chiaramella, Philippe Mulhem, Mourad Mechkour, Iadh Ounis, Marius Pasca
1998	—	`—`	Un modèle d'indexation relationnel pour les graphes conceptuels fondé sur une interprétation logique. (A logical relational indexing model for conceptual graphs). Iadh Ounis
1997	—	`conf`	A Logical Relational Approach for Information Retrieval Indexing. BCS-IRSG Annual Colloquium on IR Research Iadh Ounis, Theo W. C. Huibers
1997	C	`conf`	An Extended Inverted File Approach for Information Retrieval. IDEAS Iadh Ounis, Marius Pasca
1996	Misc	`conf`	Conceptual Graph Aboutness. ICCS Theo W. C. Huibers, Iadh Ounis, Jean-Pierre Chevallet
1996	C	`conf`	Using Conceptual Graphs in a Multifaceted Logical Model for Information Retrieval. DEXA Iadh Ounis, Jean-Pierre Chevallet
1995	—	`conf`	Une dénotation pour les graphes conceptuels: comparaison avec les logiques terminologiques en recherche d'informations. INFORSID Iadh Ounis