Richard McCreadie

112 papers A* 15A 16B 2C 1Misc 2Journal 31Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ADaFuSE: Adaptive Diffusion-generated Image and Text Fusion for Interactive Text-to-Image Retrieval. CoRR Zhuocheng Zhang, Xingwu Zhang, Kangheng Liang, Guanxuan Li, Richard McCreadie, Zijun Long
2026	—	`conf`	Correct but Incomplete: Why Chain-of-Thought Cannot Currently Support Auditable Reasoning. ECIR (2) Edward Richards, Javier Sanz-Cruzado, Richard McCreadie
2026	J	`jnl`	Eliminating Hallucination in Diffusion-Augmented Interactive Text-to-Image Retrieval. CoRR Zhuocheng Zhang, Kangheng Liang, Guanxuan Li, Paul Henderson, Richard McCreadie, Zijun Long
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
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`	Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval. SIGIR Zijun Long, Kangheng Liang, Gerardo Aragon-Camarasa, Richard McCreadie, Paul Henderson
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`	Evaluating Knowledge Graph Sources for Non-personalized Financial Asset Recommendation: 10K Reports vs. Wikidata. KEIR Lubingzhi Guo, Javier Sanz-Cruzado, Richard McCreadie
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	A*	`conf`	Information Retrieval in Finance: Industry and Academic Perspectives on Innovation. SIGIR Chung-Chi Chen, Yongjae Lee, Alejandro Lopez-Lira, Chanyeol Choi, Richard McCreadie, Javier Sanz-Cruzado
2025	A	`conf`	Selecting the Right Experts: Generalizing Information Extraction for Unseen Scenarios via Task-Aware Expert Weighting. ECAI Lubingzhi Guo, Javier Sanz-Cruzado, Richard McCreadie
2025	J	`jnl`	Zero-Shot Interactive Text-to-Image Retrieval via Diffusion-Augmented Representations. CoRR Zijun Long, Kangheng Liang, Gerardo Aragon-Camarasa, Richard McCreadie, Paul Henderson
2024	A	`conf`	CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. ECAI Zijun Long, Lipeng Zhuang, George Killick, Zaiqiao Meng, Richard McCreadie, Gerardo Aragon-Camarasa
2024	J	`jnl`	CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. CoRR Zijun Long, George Killick, Lipeng Zhuang, Gerardo Aragon-Camarasa, Zaiqiao Meng, Richard McCreadie
2024	J	`jnl`	CrisisViT: A Robust Vision Transformer for Crisis Image Classification. CoRR Zijun Long, Richard McCreadie, Muhammad Imran
2024	—	`conf`	FAR-AI: A Modular Platform for Investment Recommendation in the Financial Domain. ECIR (5) Javier Sanz-Cruzado, Edward Richards, Richard McCreadie
2024	J	`jnl`	FAR-Trans: An Investment Dataset for Financial Asset Recommendation. CoRR Javier Sanz-Cruzado, Nikolaos Droukas, Richard McCreadie
2024	Misc	`conf`	LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. ICASSP Zijun Long, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
2024	Misc	`conf`	Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval. ICASSP Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
2024	A*	`conf`	RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. ICRA Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
2024	—	`conf`	Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling. ICAIF Youngbin Lee, Yejin Kim, Javier Sanz-Cruzado, Richard McCreadie, Yongjae Lee
2024	J	`jnl`	Text2Pic Swift: Enhancing Long-Text to Image Retrieval for Large-Scale Libraries. CoRR Zijun Long, Xuri Ge, Richard McCreadie, Joemon M. Jose
2024	—	`conf`	Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. ECCV (54) Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
2024	J	`jnl`	Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. CoRR Zijun Long, Lipeng Zhuang, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
2023	—	`conf`	CrisisFACTS 2023 - Overview Paper. TREC Cody Buntain, Amanda Lee Hughes, Richard McCreadie, Benjamin D. Horne, Muhammad Imran, Hemant Purohit
2023	—	`conf`	Divergence-Based Domain Transferability for Zero-Shot Classification. EACL (Findings) Alexander Pugantsov, Richard McCreadie
2023	J	`jnl`	Divergence-Based Domain Transferability for Zero-Shot Classification. CoRR Alexander Pugantsov, Richard McCreadie
2023	J	`jnl`	Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. CoRR Zijun Long, George Killick, Lipeng Zhuang, Richard McCreadie, Gerardo Aragon-Camarasa, Paul Henderson
2023	J	`jnl`	LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. CoRR Zijun Long, Zaiqiao Meng, Gerardo Aragon-Camarasa, Richard McCreadie
2023	J	`jnl`	Large Multi-modal Encoders for Recommendation. CoRR Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie
2023	J	`jnl`	MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. CoRR Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
2023	J	`jnl`	RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. CoRR Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa
2023	J	`jnl`	When hard negative sampling meets supervised contrastive learning. CoRR Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
2022	—	`conf`	Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. ECIR (2) Alexander J. Hepburn, Richard McCreadie
2022	J	`jnl`	Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. CoRR Alexander Pugantsov, Richard McCreadie
2022	—	`conf`	Incident Streams 2021 Off the Deep End: Deeper Annotations and Evaluations in Twitter. ISCRAM Cody Buntain, Richard McCreadie, Ian Soboroff
2022	—	`conf`	Is Multi-Modal Data Key for Crisis Content Categorization on Social Media? ISCRAM Zijun Long, Richard McCreadie
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
2021	—	`conf`	Automated Crisis Content Categorization for COVID-19 Tweet Streams. ISCRAM Zijun Long, Richard McCreadie
2021	—	`conf`	Incident Streams 2020: TRECIS in the Time of COVID-19. ISCRAM Cody Buntain, Richard McCreadie, Ian Soboroff
2021	—	`conf`	University of Glasgow Terrier Team (uogTr) at the TREC 2021 Incident Streams Track. TREC Alexander J. Hepburn, Richard McCreadie
2021	J	`jnl`	Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
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	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	—	`conf`	Incident Streams 2019: Actionable Insights and How to Find Them. ISCRAM Richard McCreadie, Cody Buntain, Ian Soboroff
2020	—	`conf`	Incident Streams 2020: TRECIS in the Time of COVID-19. TREC Cody Buntain, Richard McCreadie, Ian Soboroff
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	—	`conf`	University of Glasgow Terrier Team (uogTr) at the TREC 2020 Incident Streams Track. TREC Alexander J. Hepburn, Richard McCreadie
2019	A*	`conf`	Event Tracker: A Text Analytics Platform for Use During Disasters. SIGIR Charles Thomas, Richard McCreadie, 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`	TREC Incident Streams: Finding Actionable Information on Social Media. ISCRAM Richard McCreadie, Cody Buntain, Ian Soboroff
2019	J	`jnl`	Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2018	—	`conf`	Agile Information Retrieval Experimentation with Terrier Notebooks. DESIRES Craig Macdonald, Richard McCreadie, Iadh Ounis
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	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`	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
2017	A	`conf`	A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries. CIKM Gaurav Baruah, Richard McCreadie, Jimmy Lin
2017	B	`conf`	Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter. ASONAM Karin Sim Smith, Richard McCreadie, Craig Macdonald, Iadh Ounis
2017	—	`conf`	Overview of the TREC 2017 Real-Time Summarization Track. TREC Jimmy Lin, Salman Mohammed, Royal Sequiera, Luchen Tan, Nimesh Ghelani, Mustafa Abualsaud, Richard McCreadie, Dmitrijs Milajevs, Ellen M. Voorhees
2017	B	`conf`	Transfer Learning for Multi-language Twitter Election Classification. ASONAM Xiao Yang, Richard McCreadie, Craig Macdonald, Iadh Ounis
2016	A	`conf`	A Study of Realtime Summarization Metrics. CIKM Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Fernando Diaz
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`	Experiments in Newswire Summarisation. ECIR Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis
2016	—	`conf`	Overview of the TREC 2016 Real-Time Summarization Track. TREC Jimmy Lin, Adam Roegiest, Luchen Tan, Richard McCreadie, Ellen M. Voorhees, Fernando Diaz
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	—	`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	—	`conf`	TREC 2015 Temporal Summarization Track Overview. TREC Javed A. Aslam, Fernando Diaz, Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Tetsuya Sakai
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	—	`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
2014	—	`conf`	A Study of Personalised Medical Literature Search. CLEF Richard McCreadie, Craig Macdonald, Iadh Ounis, Jon Brassey
2014	—	`conf`	Comparing Algorithms for Microblog Summarisation. CLEF Stuart Mackie, Richard McCreadie, 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	—	`conf`	On choosing an effective automatic evaluation metric for microblog summarisation. IIiX Stuart Mackie, Richard McCreadie, 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	—	`conf`	TREC 2014 Temporal Summarization Track Overview. TREC Javed A. Aslam, Matthew Ekstrand-Abueg, Virgil Pavlu, Fernando Diaz, Richard McCreadie, Tetsuya Sakai
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`	Can Twitter Replace Newswire for Breaking News? ICWSM Sasa Petrovic, Miles Osborne, Richard McCreadie, Craig Macdonald, Iadh Ounis, Luke Shrimpton
2013	J	`jnl`	Identifying top news using crowdsourcing. Inf. Retr. Richard McCreadie, Craig Macdonald, Iadh Ounis
2013	J	`jnl`	News vertical search using user-generated content. SIGIR Forum Richard McCreadie
2013	A*	`conf`	News vertical search: when and what to display to users. SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
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`	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
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`	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	J	`jnl`	MapReduce indexing strategies: Studying scalability and efficiency. Inf. Process. Manag. Richard McCreadie, Craig Macdonald, Iadh Ounis
2012	—	`—`	News vertical search using user-generated content. Richard McCreadie
2012	A*	`conf`	On building a reusable Twitter corpus. SIGIR Richard McCreadie, Ian Soboroff, Jimmy Lin, Craig Macdonald, Iadh Ounis, Dean McCullough
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	A	`conf`	Large-scale information retrieval experimentation with terrier. CIKM Rodrygo L. T. Santos, Richard McCreadie, Vassilis Plachouras
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
2010	A*	`conf`	Leveraging user-generated content for news search. SIGIR Richard McCreadie
2010	—	`conf`	News article ranking: leveraging the wisdom of bloggers. RIAO Richard McCreadie, 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
2009	—	`conf`	Comparing Distributed Indexing: To MapReduce or Not? LSDS-IR@SIGIR Richard McCreadie, Craig Macdonald, Iadh Ounis
2009	A*	`conf`	On single-pass indexing with MapReduce. SIGIR Richard McCreadie, 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