Craig Macdonald

发表

Contrastive Graph Prompt-tuning for Cross-domain Recommendation

I. Ounis, C. Macdonald, Zixuan Yi, 2023, ACM Trans. Inf. Syst..

Generative Sequential Recommendation with GPTRec

C. Macdonald, Aleksandr Petrov, Craig Macdonald, 2023, ArXiv.

Identifying top news using crowdsourcing

I. Ounis, R. McCreadie, C. Macdonald, 2013, Information Retrieval.

Comparing Overall and Targeted Sentiments in Social Media during Crises

Craig MacDonald, Iadh Ounis, Saul Vargas, 2016, ICWSM.

Crowdsourced Rumour Identification During Emergencies

Craig MacDonald, Iadh Ounis, Richard McCreadie, 2015, WWW.

SUPER: Towards the use of Social Sensors for Security Assessments and Proactive Management of Emergencies

Craig MacDonald, Iadh Ounis, Karolin Kappler, 2015, WWW.

On sparsity and drift for effective real-time filtering in microblogs

Craig MacDonald, Iadh Ounis, M-Dyaa Albakour, 2013, CIKM.

Can Twitter Replace Newswire for Breaking News?

Craig MacDonald, Iadh Ounis, Miles Osborne, 2013, ICWSM.

Identifying local events by using microblogs as social sensors

Craig MacDonald, Iadh Ounis, M-Dyaa Albakour, 2013, OAIR.

Information Retrieval on the Blogosphere

Rodrygo L. T. Santos, Iadh Ounis, Craig Macdonald, 2012, Found. Trends Inf. Retr..

3 Searching the Internet of Things

C. MacDonald, I. Ounis, R. McCreadie, 2017 .

Bieber no more : First Story Detection using Twitter and Wikipedia

M. Osborne, C. MacDonald, I. Ounis, 2012 .

The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems pdf

Iadh Ounis, Craig Macdonald, Amir H. Jadidinejad, 2021, ACM Trans. Inf. Syst..

Exploring Data Splitting Strategies for the Evaluation of Recommendation Models

Iadh Ounis, Craig Macdonald, Zaiqiao Meng, 2020, RecSys.

Exploiting query reformulations for web search result diversification

Craig MacDonald, Rodrygo L. T. Santos, Iadh Ounis, 2010, WWW '10.

Selectively diversifying web search results

Craig MacDonald, Rodrygo L. T. Santos, Iadh Ounis, 2010, CIKM.

Predicting Query Performance in Intranet Search ∗

Craig Macdonald, U. K. craigm, Craig Macdonald, 2005 .

Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval

Iadh Ounis, Craig Macdonald, Nicola Tonellotto, 2021, ICTIR.

Search Result Diversification

Craig MacDonald, Rodrygo L. T. Santos, Iadh Ounis, 2015, Found. Trends Inf. Retr..

MapReduce indexing strategies: Studying scalability and efficiency

Craig MacDonald, Iadh Ounis, Richard McCreadie, 2012, Inf. Process. Manag..

Comparing Distributed Indexing: To MapReduce or Not?

Craig MacDonald, Iadh Ounis, Richard McCreadie, 2009, LSDS-IR@SIGIR.

Web Services Business Process Execution Language

Christian S. Jensen, Craig A. Knoblock, Minos N. Garofalakis, 2009, Encyclopedia of Database Systems.

On the TREC Blog Track

Craig MacDonald, Iadh Ounis, Ian Soboroff, 2021, ICWSM.

Graph Neural Pre-training for Recommendation with Side Information

I. Ounis, Zaiqiao Meng, Siwei Liu, 2022, ACM Trans. Inf. Syst..

An MLP-based Algorithm for Efficient Contrastive Graph Recommendations

I. Ounis, Siwei Liu, C. Macdonald, 2022, SIGIR.

Graph Neural Pre-training for Enhancing Recommendations using Side Information pdf

Iadh Ounis, Craig Macdonald, Zaiqiao Meng, 2021, ArXiv.

RSS: Effective and Efficient Training for Sequential Recommendation using Recency Sampling

C. Macdonald, Aleksandr Petrov, Craig Macdonald, 2023, ACM Transactions on Recommender Systems.

A Heterogeneous Graph Neural Model for Cold-start Recommendation

Iadh Ounis, Craig Macdonald, Siwei Liu, 2020, SIGIR.

Static Pruning for Multi-Representation Dense Retrieval

N. Tonellotto, C. Macdonald, A. Acquavia, 2023, DocEng.

Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col*

I. Ounis, N. Tonellotto, Xiao Wang, 2023, SIGIR.

A Contextual Recurrent Collaborative Filtering framework for modelling sequences of venue checkins

Iadh Ounis, Craig Macdonald, Jarana Manotumruksa, 2020, Inf. Process. Manag..

Sequential Testing for Early Stopping of Online Experiments

Craig MacDonald, Iadh Ounis, Aleksandr Vorobev, 2015, SIGIR.

Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data

Craig MacDonald, Iadh Ounis, Anjie Fang, 2016, SIGIR.

Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data

Craig MacDonald, Iadh Ounis, Anjie Fang, 2016, ECIR.

Evaluating Real-Time Search over Tweets

Craig MacDonald, Iadh Ounis, Jimmy J. Lin, 2012, ICWSM.

Overview of the TREC 2011 Microblog Track

Iadh Ounis, Jimmy J. Lin, Craig Macdonald, 2011, TREC.

Multi-Task Learning of Query Generation and Classification for Generative Conversational Question Rewriting

I. Ounis, S. Kongyoung, Craig Macdonald, 2023, EMNLP.

monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering

I. Ounis, S. Kongyoung, C. Macdonald, 2022, EMNLP.

A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation

Craig MacDonald, Iadh Ounis, Jarana Manotumruksa, 2018, SIGIR.

A Study of Personalised Medical Literature Search

Craig MacDonald, Iadh Ounis, Richard McCreadie, 2014, CLEF.

Learning to rank query suggestions for adhoc and diversity search

Craig MacDonald, Rodrygo L. T. Santos, Iadh Ounis, 2012, Information Retrieval.

Scalable distributed event detection for Twitter

Craig MacDonald, Iadh Ounis, Miles Osborne, 2013, 2013 IEEE International Conference on Big Data.

How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review

Iadh Ounis, Craig Macdonald, Graham Mcdonald, 2020, ACM Trans. Inf. Syst..

Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings

Craig MacDonald, Iadh Ounis, Graham McDonald, 2017, ECIR.

Towards a Classifier for Digital Sensitivity Review

Craig MacDonald, Iadh Ounis, Graham McDonald, 2014, ECIR.

Multi-modal Graph Contrastive Learning for Micro-video Recommendation

I. Ounis, C. Macdonald, Xi Wang, 2022, SIGIR.

Terrier Information Retrieval Platform

Craig MacDonald, Iadh Ounis, Ben He, 2005, ECIR.

Web Scraping

Craig A. Knoblock, Minos N. Garofalakis, Cartik R. Kothari, 2009, Encyclopedia of Database Systems.

Adaptive Re-Ranking with a Corpus Graph

Sean MacAvaney, N. Tonellotto, C. Macdonald, 2022, CIKM.

PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval

Craig MacDonald, Iadh Ounis, Nicola Tonellotto, 2021, CIKM.

Adaptive Re-Ranking as an Information-Seeking Agent

Sean MacAvaney, N. Tonellotto, C. Macdonald, 2022, CIKM Workshops.

Using word embeddings in Twitter election classification

Craig MacDonald, Iadh Ounis, Xiao Yang, 2016, Information Retrieval Journal.

Effective contact recommendation in social networks by adaptation of information retrieval models

Iadh Ounis, Craig Macdonald, Javier Sanz-Cruzado, 2020, Inf. Process. Manag..

We need to go deeper: measuring electoral violence using convolutional neural networks and social media

Iadh Ounis, Craig Macdonald, Xiao Yang, 2020, Political Science Research and Methods.

Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective

Iadh Ounis, Craig Macdonald, Pablo Castells, 2020, ECIR.

On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings

Craig MacDonald, Iadh Ounis, Richard McCreadie, 2018, ECIR.

Transfer Learning for Multi-language Twitter Election Classification

Craig MacDonald, Iadh Ounis, Richard McCreadie, 2017, ASONAM.

Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management

Craig MacDonald, Iadh Ounis, Graham McDonald, 2015, ICWSM.

Comparing Algorithms for Microblog Summarisation

Craig MacDonald, Iadh Ounis, Richard McCreadie, 2014, CLEF.

Relevance in microblogs: enhancing tweet retrieval using hyperlinked documents

Craig MacDonald, Richard McCreadie, R. McCreadie, 2013, OAIR.

We need to go deeper: measuring electoral violence using convolutional neural networks and social media

I. Ounis, S. Birch, Xiao Yang, 2020 .

Overview of the TREC 2007 Blog Track

Craig MacDonald, Iadh Ounis, Ian Soboroff, 2007, TREC.

Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback

I. Ounis, C. Macdonald, Yaxiong Wu, 2023, RecSys.

Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation

Craig MacDonald, Iadh Ounis, Yaxiong Wu, 2021, RecSys.

Personalised Multi-Modal Interactive Recommendation with Hierarchical State Representations

I. Ounis, Yaxiong Wu, Craig Macdonald, 2024, Trans. Recomm. Syst..

Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback

I. Ounis, C. Macdonald, Yaxiong Wu, 2022, CUI.

Supervised approaches for explicit search result diversification

I. Ounis, Ö. Ulusoy, Sevgi Yigit-Sert, 2020, Inf. Process. Manag..

Deep Reinforced Query Reformulation for Information Retrieval pdf

Iadh Ounis, Xiao Wang, Craig Macdonald, 2020, ArXiv.

Using an Inverted Index Synopsis for Query Latency and Performance Prediction

Craig Macdonald, Nicola Tonellotto, N. Tonellotto, 2020, ACM Trans. Inf. Syst..

Efficient Query Processing for Scalable Web Search

Iadh Ounis, Craig Macdonald, Nicola Tonellotto, 2018, Found. Trends Inf. Retr..

Inferring Conceptual Relationships When Ranking Patients pdf

Craig MacDonald, Iadh Ounis, Nut Limsopatham, 2017, ArXiv.

Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients.

Craig MacDonald, Iadh Ounis, Nut Limsopatham, 2014, CIKM.

Learning to selectively rank patients' medical history

Craig MacDonald, Iadh Ounis, Nut Limsopatham, 2013, CIKM.

Learning to combine representations for medical records search

Craig MacDonald, Iadh Ounis, Nut Limsopatham, 2013, SIGIR.

Efficient and effective retrieval using selective pruning

Craig MacDonald, Iadh Ounis, Nicola Tonellotto, 2013, WSDM.

On the usefulness of query features for learning to rank

Craig MacDonald, Rodrygo L. T. Santos, Iadh Ounis, 2012, CIKM.

Intent-aware search result diversification

Craig MacDonald, Rodrygo L. T. Santos, Iadh Ounis, 2011, SIGIR.

Performance Predictors for Conversational Fashion Recommendation

M. Vlachou, C. Macdonald, Craig Macdonald, 2022, KaRS@RecSys.

A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation

Iadh Ounis, Craig Macdonald, Yaxiong Wu, 2020, ICTIR.

A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation

Craig MacDonald, Iadh Ounis, Jarana Manotumruksa, 2017, CIKM.

A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation

Craig MacDonald, Iadh Ounis, Jarana Manotumruksa, 2017, CIKM.