Craig Macdonald

397 papers A* 65A 89B 5C 4Misc 12Journal 105Unranked 96

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond questions: Leveraging ColBERT for keyphrase search. Inf. Process. Manag. Jorge Gabín, Javier Parapar, Craig Macdonald
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`	Pipeline Inspection, Visualization, and Interoperability in PyTerrier. ECIR (4) Emmanouil Georgios Lionis, Craig Macdonald, Sean MacAvaney
2026	J	`jnl`	Pipeline Inspection, Visualization, and Interoperability in PyTerrier. CoRR Emmanouil Georgios Lionis, Craig Macdonald, Sean MacAvaney
2026	—	`conf`	Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation. ECIR (1) Fangzheng Tian, Debasis Ganguly, Craig Macdonald
2026	J	`jnl`	Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation. CoRR Fangzheng Tian, Debasis Ganguly, Craig Macdonald
2026	—	`conf`	Revealing MonoT5s Learning Mechanisms via Prompt-Token Adaptation. ECIR (1) Marco Braga, Sean MacAvaney, Craig Macdonald, Gabriella Pasi
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part I ECIR (1) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part II ECIR (2) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III ECIR (3) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part IV ECIR (4) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`ed.`	Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V ECIR (5) Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
2025	—	`conf`	Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG. IR-RAG@SIGIR Fangzheng Tian, Jinyuan Fang, Debasis Ganguly, Zaiqiao Meng, Craig Macdonald
2025	J	`jnl`	Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG. CoRR Fangzheng Tian, Jinyuan Fang, Debasis Ganguly, Zaiqiao Meng, Craig Macdonald
2025	A	`conf`	Balancing Accuracy and Novelty with Sub-Item Popularity. RecSys Chiara Mallamaci, Aleksandr V. Petrov, Alberto Carlo Maria Mancino, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald
2025	J	`jnl`	Balancing Accuracy and Novelty with Sub-Item Popularity. CoRR Chiara Mallamaci, Aleksandr Vladimirovich Petrov, Alberto Carlo Maria Mancino, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald
2025	A*	`conf`	Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. SIGIR Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng
2025	J	`jnl`	Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. CoRR Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng
2025	—	`conf`	Context Example Selection for LLM Generated Relevance Assessments. ECIR (1) Jack McKechnie, Graham McDonald, Craig Macdonald
2025	A*	`conf`	Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. SIGIR Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto
2025	J	`jnl`	Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. CoRR Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto
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	J	`jnl`	Improving Effectiveness by Reducing Overconfidence in Large Catalogue Sequential Recommendation with gBCE loss. Trans. Recomm. Syst. Aleksandr Vladimirovich Petrov, Craig Macdonald
2025	—	`conf`	Is Relevance Propagated from Retriever to Generator in RAG? ECIR (1) Fangzheng Tian, Debasis Ganguly, Craig Macdonald
2025	J	`jnl`	Is Relevance Propagated from Retriever to Generator in RAG? CoRR Fangzheng Tian, Debasis Ganguly, Craig Macdonald
2025	—	`conf`	KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation. ACL (1) Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2025	J	`jnl`	KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation. CoRR Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2025	A*	`conf`	Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems. SIGIR Jack McKechnie, Graham McDonald, Craig Macdonald
2025	J	`jnl`	Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems. CoRR Jack McKechnie, Graham McDonald, Craig Macdonald
2025	—	`conf`	On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures. WOWS Sean MacAvaney, Craig Macdonald
2025	J	`jnl`	On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures. CoRR Sean MacAvaney, Craig Macdonald
2025	J	`jnl`	RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling. Trans. Recomm. Syst. Aleksandr V. Petrov, Craig Macdonald
2025	J	`jnl`	Revisiting Query Variants: The Advantage of Retrieval Over Generation of Query Variants for Effective QPP. CoRR Fangzheng Tian, Debasis Ganguly, Craig Macdonald
2025	—	`conf`	Semantically Proportioned nDCG for Explaining ColBERT's Learning Process. ECIR (1) Ariane Mueller, Craig Macdonald
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	—	`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`	Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning. CoRR Aleksandr V. Petrov, Craig Macdonald
2024	J	`jnl`	Beyond Questions: Leveraging ColBERT for Keyphrase Search. CoRR Jorge Gabín, Javier Parapar, Craig Macdonald
2024	A*	`conf`	Bi-Objective Negative Sampling for Sensitivity-Aware Search. SIGIR Jack McKechnie, Graham McDonald, Craig Macdonald
2024	Misc	`conf`	Coherence-based Query Performance Measures for Dense Retrieval. ICTIR Maria Vlachou, Craig Macdonald
2024	J	`jnl`	Contrastive Graph Prompt-tuning for Cross-domain Recommendation. ACM Trans. Inf. Syst. Zixuan Yi, Iadh Ounis, Craig Macdonald
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`	Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. RecSys Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto
2024	J	`jnl`	Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. CoRR Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto
2024	A	`conf`	Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. RecSys Davide Abbattista, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald, Aleksandr Vladimirovich Petrov
2024	J	`jnl`	Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. CoRR Davide Abbattista, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald, Aleksandr Vladimirovich Petrov
2024	—	`conf`	Knowledge Graph Cross-View Contrastive Learning for Recommendation. ECIR (3) Zeyuan Meng, Iadh Ounis, Craig Macdonald, Zixuan Yi
2024	A*	`conf`	Neural Passage Quality Estimation for Static Pruning. SIGIR Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney
2024	J	`jnl`	Neural Passage Quality Estimation for Static Pruning. CoRR Xuejun Chang, Debabrata Mishra, Craig Macdonald, Sean MacAvaney
2024	J	`jnl`	Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations. Trans. Recomm. Syst. Yaxiong Wu, Craig Macdonald, Iadh Ounis
2024	—	`conf`	REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. ACL (1) Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2024	A	`conf`	RecJPQ: Training Large-Catalogue Sequential Recommenders. WSDM Aleksandr V. Petrov, Craig Macdonald
2024	J	`jnl`	Report on the 46th European Conference on Information Retrieval (ECIR 2024). SIGIR Forum Graham McDonald, Craig Macdonald, Iadh Ounis
2024	—	`conf`	Shallow Cross-Encoders for Low-Latency Retrieval. ECIR (3) Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald
2024	J	`jnl`	Shallow Cross-Encoders for Low-Latency Retrieval. CoRR Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald
2024	—	`conf`	TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. EMNLP (Findings) Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2024	J	`jnl`	TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. CoRR Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2024	—	`conf`	Transformers for Sequential Recommendation. ECIR (5) Aleksandr V. Petrov, Craig Macdonald
2024	J	`jnl`	What Else Would I Like? A User Simulator using Alternatives for Improved Evaluation of Fashion Conversational Recommendation Systems. CoRR Maria Vlachou, Craig Macdonald
2024	A*	`conf`	gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract). IJCAI Aleksandr V. Petrov, Craig Macdonald
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	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`	Doc2Query-: When Less is More. ECIR (2) Mitko Gospodinov, Sean MacAvaney, Craig Macdonald
2023	J	`jnl`	Doc2Query-: When Less is More. CoRR Mitko Gospodinov, Sean MacAvaney, Craig Macdonald
2023	—	`conf`	Effective Contrastive Weighting for Dense Query Expansion. ACL (1) Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
2023	J	`jnl`	Generative Query Reformulation for Effective Adhoc Search. CoRR Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis
2023	J	`jnl`	Generative Sequential Recommendation with GPTRec. CoRR Aleksandr V. Petrov, Craig Macdonald
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	A	`conf`	KGPR: Knowledge Graph Enhanced Passage Ranking. CIKM Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
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	J	`jnl`	On Coherence-based Predictors for Dense Query Performance Prediction. CoRR Maria Vlachou, Craig Macdonald
2023	J	`jnl`	RecJPQ: Training Large-Catalogue Sequential Recommenders. CoRR Aleksandr V. Petrov, Craig Macdonald
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
2023	B	`conf`	Static Pruning for Multi-Representation Dense Retrieval. DocEng Antonio Acquavia, Craig Macdonald, Nicola Tonellotto
2023	A*	`conf`	Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. SIGIR Ashutosh Singh, Debasis Ganguly, Suchana Datta, Craig Macdonald
2023	A	`conf`	gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. RecSys Aleksandr Vladimirovich Petrov, Craig Macdonald
2023	J	`jnl`	gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. CoRR Aleksandr V. Petrov, Craig Macdonald
2022	A*	`conf`	A Python Interface to PISA! SIGIR Sean MacAvaney, Craig Macdonald
2022	A	`conf`	A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. RecSys Aleksandr V. Petrov, Craig Macdonald
2022	J	`jnl`	A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. CoRR Aleksandr V. Petrov, Craig Macdonald
2022	—	`conf`	Adaptive Re-Ranking as an Information-Seeking Agent. CIKM Workshops Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
2022	A	`conf`	Adaptive Re-Ranking with a Corpus Graph. CIKM Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
2022	J	`jnl`	Adaptive Re-Ranking with a Corpus Graph. CoRR Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
2022	—	`ed.`	Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I ECIR (1) Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty
2022	—	`ed.`	Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II ECIR (2) Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty
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	—	`conf`	Effective Rating Prediction Using an Attention-Based User Review Sentiment Model. ECIR (1) Xi Wang, Iadh Ounis, Craig Macdonald
2022	A	`conf`	Effective and Efficient Training for Sequential Recommendation using Recency Sampling. RecSys Aleksandr V. Petrov, Craig Macdonald
2022	J	`jnl`	Effective and Efficient Training for Sequential Recommendation using Recency Sampling. CoRR Aleksandr V. Petrov, Craig Macdonald
2022	J	`jnl`	Entity-Assisted Language Models for Identifying Check-worthy Sentences. CoRR Ting Su, Craig Macdonald, Iadh Ounis
2022	—	`ed.`	Experimental IR Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the CLEF Association, CLEF 2022, Bologna, Italy, September 5-8, 2022, Proceedings CLEF Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Fabrizio Sebastiani, Craig Macdonald, Gabriella Pasi, Allan Hanbury, Martin Potthast, Guglielmo Faggioli, Nicola Ferro
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	—	`conf`	Performance Predictors for Conversational Fashion Recommendation. KaRS@RecSys Maria Vlachou, Craig Macdonald
2022	J	`jnl`	Report on the 13th Conference and Labs of the Evaluation Forum (CLEF 2022): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Craig Macdonald, Gabriella Pasi, Martin Potthast, Fabrizio Sebastiani
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	—	`conf`	Streamlining Evaluation with ir-measures. ECIR (2) Sean MacAvaney, Craig Macdonald, 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`	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`	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	A	`conf`	IR From Bag-of-words to BERT and Beyond through Practical Experiments. CIKM Craig Macdonald, Nicola Tonellotto, Sean MacAvaney
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	A	`conf`	On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. CIKM Craig Macdonald, Nicola Tonellotto
2021	J	`jnl`	On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. CoRR Craig Macdonald, Nicola Tonellotto
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	A	`conf`	Query Embedding Pruning for Dense Retrieval. CIKM Nicola Tonellotto, Craig Macdonald
2021	J	`jnl`	Query Embedding Pruning for Dense Retrieval. CoRR Nicola Tonellotto, Craig Macdonald
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	Misc	`conf`	Declarative Experimentation in Information Retrieval using PyTerrier. ICTIR Craig Macdonald, Nicola Tonellotto
2020	J	`jnl`	Declarative Experimentation in Information Retrieval using PyTerrier. CoRR Craig Macdonald, Nicola Tonellotto
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	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	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	A*	`conf`	Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. SIGIR Jimmy Lin, Joel M. Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michal Siedlaczek, Andrew Trotman, Arjen P. de Vries
2020	J	`jnl`	Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. CoRR Jimmy Lin, Joel M. Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michal Siedlaczek, Andrew Trotman, Arjen P. de Vries
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	A*	`conf`	Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. SIGIR Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis
2020	J	`jnl`	Using an Inverted Index Synopsis for Query Latency and Performance Prediction. ACM Trans. Inf. Syst. Nicola Tonellotto, Craig Macdonald
2019	—	`conf`	Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. ECIR (1) Xi Wang, Iadh Ounis, Craig Macdonald
2019	—	`conf`	Dockerising Terrier for The Open-Source IR Replicability Challenge (OSIRRC 2019). OSIRRC@SIGIR Arthur Barbosa Câmara, 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	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	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	—	`conf`	BigDataStack: A Holistic Data-Driven Stack for Big Data Applications and Operations. BigData Congress Dimosthenis Kyriazis, Christos Doulkeridis, Panagiotis Gouvas, Ricardo Jiménez-Peris, Ana Juan Ferrer, Leonidas Kallipolitis, Pavlos Kranas, George Kousiouris, Craig Macdonald, Richard McCreadie, Yosef Moatti, Apostolos Papageorgiou, Marta Patiño-Martínez, Stathis Plitsos, Dimitrios Poulopoulos, Antonio Paradell, Amaryllis Raouzaiou, Paula Ta-Shma, Valerio Vianello
2018	A*	`conf`	Combining Terrier with Apache Spark to create Agile Experimental Information Retrieval Pipelines. SIGIR Craig Macdonald
2018	A*	`conf`	Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. SIGIR Nicola Tonellotto, Craig Macdonald
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	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 Cost of Negation for Dynamic Pruning. ECIR Joel M. Mackenzie, Craig Macdonald, Falk Scholer, J. Shane Culpepper
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
2017	Misc	`conf`	Upper Bound Approximation for BlockMaxWand. ICTIR Craig Macdonald, Nicola Tonellotto
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	—	`ed.`	Experimental IR Meets Multilinguality, Multimodality, and Interaction - 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016, Proceedings CLEF Norbert Fuhr, Paulo Quaresma, Teresa Gonçalves, Birger Larsen, Krisztian Balog, Craig Macdonald, Linda Cappellato, Nicola Ferro
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`	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	A	`conf`	Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge. ECIR Jimmy Lin, Matt Crane, Andrew Trotman, Jamie Callan, Ishan Chattopadhyaya, John Foley, Grant Ingersoll, Craig Macdonald, Sebastiano Vigna
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
2016	—	`ed.`	Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum, Évora, Portugal, 5-8 September, 2016. CLEF (Working Notes) Krisztian Balog, Linda Cappellato, Nicola Ferro, Craig Macdonald
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	A	`conf`	Constructing Sailing Match Race Schedules: Round-Robin Pairing Lists. CP Craig Macdonald, Ciaran McCreesh, Alice Miller, Patrick Prosser
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`	Load-sensitive CPU Power Management for Web Search Engines. SIGIR Matteo Catena, Craig Macdonald, Nicola Tonellotto
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	—	`conf`	Diversifying contextual suggestions from location-based social networks. IIiX M-Dyaa Albakour, Romain Deveaud, Craig Macdonald, 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	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	—	`conf`	TREC 2014 Web Track Overview. TREC Kevyn Collins-Thompson, Craig Macdonald, Paul N. Bennett, Fernando Diaz, Ellen M. Voorhees
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
2014	A	`conf`	Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014). WSDM Ismail Sengör Altingövde, Berkant Barla Cambazoglu, Craig Macdonald, Nicola Tonellotto
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	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	J	`jnl`	Introduction to the special issue on search intents and diversification. Inf. Retr. Tetsuya Sakai, Noriko Kando, Craig Macdonald, Ian Soboroff
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	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`	Relevance in microblogs: enhancing tweet retrieval using hyperlinked documents. OAIR Richard McCreadie, Craig Macdonald
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
2013	A	`conf`	Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013). WSDM Nicola Tonellotto, Craig Macdonald, Ismail Sengör Altingövde
2012	A	`conf`	2nd international workshop on diversity in document retrieval (DDR 2012). WSDM Craig Macdonald, Jun Wang, Charles L. A. Clarke
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	—	`conf`	Overview of the TREC-2012 Microblog Track. TREC Ian Soboroff, Iadh Ounis, Craig Macdonald, Jimmy Lin
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	C	`conf`	Combining Textual Content and Hyperlinks in Web Spam Detection. NLDB F. Javier Ortega, Craig Macdonald, José A. Troyano, Fermín L. Cruz, Fernando Enríquez
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 1st international workshop on diversity in document retrieval. SIGIR Forum Craig Macdonald, Charles L. A. Clarke, Jun Wang
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`	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	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	A	`conf`	Selectively diversifying web search results. CIKM Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
2010	—	`conf`	Spam detection with a content-based random-walk algorithm. SMUC@CIKM F. Javier Ortega, Craig Macdonald, José A. Troyano, Fermín L. Cruz
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	—	`conf`	Comparing Distributed Indexing: To MapReduce or Not? LSDS-IR@SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
2009	A*	`conf`	Expertise search in academia using facets. SIGIR Duncan McDougall, Craig Macdonald
2009	A	`conf`	Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval. ECIR Rodrygo L. T. Santos, Ben He, Craig Macdonald, 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	J	`jnl`	Searching for Expertise: Experiments with the Voting Model. Comput. J. Craig Macdonald, Iadh Ounis
2009	A	`conf`	The influence of the document ranking in expert search. CIKM Craig Macdonald, Iadh Ounis
2009	J	`jnl`	The voting model for people search. SIGIR Forum Craig Macdonald
2009	—	`—`	The voting model for people search. Craig Macdonald
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	A*	`conf`	Usefulness of click-through data in expert search. SIGIR Craig Macdonald, Ryen W. White
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	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	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	—	`conf`	Combination of Document Priors in Web Information Retrieval. RIAO Jie Peng, Craig Macdonald, Ben He, Iadh Ounis
2007	A	`conf`	Expertise drift and query expansion in expert search. CIKM Craig Macdonald, Iadh Ounis
2007	A*	`conf`	Incorporating term dependency in the dfr framework. SIGIR Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis
2007	—	`conf`	Overview of the TREC 2007 Blog Track. TREC Craig Macdonald, Iadh Ounis, Ian Soboroff
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
2006	A*	`conf`	Combining fields in known-item email search. SIGIR Craig Macdonald, Iadh Ounis
2006	—	`conf`	Overview of the TREC 2006 Blog Track. TREC Iadh Ounis, Craig Macdonald, Maarten de Rijke, Gilad Mishne, Ian Soboroff
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	—	`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	A	`conf`	Terrier Information Retrieval Platform. ECIR Iadh Ounis, Gianni Amati, Vassilis Plachouras, Ben He, Craig Macdonald, Douglas Johnson
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