Craig MacDonald

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 21

Top Topics

Relevance Feedback

Query Performance Prediction

Search Result Diversification

Top Venues

Publications

Zixuan Yi, Iadh Ounis, Craig MacDonald
Contrastive Graph Prompt-tuning for Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Jinyuan Fang, Zaiqiao Meng, Craig MacDonald
REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. ACL (1) (2024)
Xiao Wang, Craig MacDonald, Nicola Tonellotto, Iadh Ounis
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web 17 (1) (2023)
Ashutosh Singh, Debasis Ganguly, Suchana Datta, Craig MacDonald
Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. SIGIR (2023)
Sarawoot Kongyoung, Craig MacDonald, Iadh Ounis
Multi-Task Learning of Query Generation and Classification for Generative Conversational Question Rewriting. EMNLP (Findings) (2023)
Aleksandr Vladimirovich Petrov, Craig MacDonald
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. RecSys (2023)
Zixuan Yi, Xi Wang, Iadh Ounis, Craig MacDonald
Multi-modal Graph Contrastive Learning for Micro-video Recommendation. SIGIR (2022)
Xi Wang, Iadh Ounis, Craig MacDonald
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CIKM (2020)
Amir Hossein Jadidinejad, Craig MacDonald, Iadh Ounis
Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks. ICTIR (2019)
Karin Sim Smith, Richard McCreadie, Craig MacDonald, Iadh Ounis
Regional Sentiment Bias in Social Media Reporting During Crises. Inf. Syst. Frontiers 20 (5) (2018)
Anjie Fang, Iadh Ounis, Craig MacDonald, Philip Habel, Xiaoyu Xiong, Haitao Yu
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. CIKM (2018)
Nut Limsopatham, Craig MacDonald, Iadh Ounis
Inferring Conceptual Relationships When Ranking Patients. CoRR (2017)
Craig MacDonald, Nicola Tonellotto, Iadh Ounis
Efficient & Effective Selective Query Rewriting with Efficiency Predictions. SIGIR (2017)
Jarana Manotumruksa, Craig MacDonald, Iadh Ounis
Regularising Factorised Models for Venue Recommendation using Friends and their Comments. CIKM (2016)
Saul Vargas, Richard McCreadie, Craig MacDonald, Iadh Ounis
Comparing Overall and Targeted Sentiments in Social Media during Crises. ICWSM (2016)
Jarana Manotumruksa, Craig MacDonald, Iadh Ounis
University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions. TREC (2016)
Jarana Manotumruksa, Craig MacDonald, Iadh Ounis
Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation. CoRR (2016)
Jarana Manotumruksa, Craig MacDonald, Iadh Ounis
Predicting Contextually Appropriate Venues in Location-Based Social Networks. CLEF (2016)
Richard McCreadie, Craig MacDonald, Iadh Ounis
Emergency Identification and Analysis with EAIMS. CoRR (2016)
Jimmy Lin, Matt Crane, Andrew Trotman, Jamie Callan, Ishan Chattopadhyaya, John Foley, Grant Ingersoll, Craig MacDonald, Sebastiano Vigna
Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge. ECIR (2016)
Xiao Yang, Craig MacDonald, Iadh Ounis
Using Word Embeddings in Twitter Election Classification. CoRR (2016)
Anjie Fang, Iadh Ounis, Philip Habel, Craig MacDonald, Nut Limsopatham
Topic-centric Classification of Twitter User's Political Orientation. FDIA (2015)
Rodrygo L. T. Santos, Craig MacDonald, Iadh Ounis
Search Result Diversification. Found. Trends Inf. Retr. 9 (1) (2015)
Richard McCreadie, Saul Vargas, Craig MacDonald, Iadh Ounis, Stuart Mackie, Jarana Manotumruksa, Graham McDonald
University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. TREC (2015)
Iadh Ounis, Craig MacDonald, Ian Soboroff
Overview of the TREC 2008 Blog Track. TREC (2008)