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08/21/2023
Contrastive Graph Prompt-tuning for Cross-domain Recommendation
Recommender systems are frequently challenged by the data sparsity probl...
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08/01/2023
On the Effects of Regional Spelling Conventions in Retrieval Models
One advantage of neural ranking models is that they are meant to general...
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08/01/2023
Generative Query Reformulation for Effective Adhoc Search
Performing automatic reformulations of a user's query is a popular parad...
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11/19/2022
Entity-Assisted Language Models for Identifying Check-worthy Sentences
We propose a new uniform framework for text classification and ranking t...
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11/19/2022
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter
Social networks (SNs) are increasingly important sources of news for man...
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01/21/2022
Reproducing Personalised Session Search over the AOL Query Log
Despite its troubled past, the AOL Query Log continues to be an importan...
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11/26/2021
Streamlining Evaluation with ir-measures
We present ir-measures, a new tool that makes it convenient to calculate...
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08/13/2021
On Single and Multiple Representations in Dense Passage Retrieval
The advent of contextualised language models has brought gains in search...
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08/09/2021
IntenT5: Search Result Diversification using Causal Language Models
Search result diversification is a beneficial approach to overcome under...
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07/08/2021
Graph Neural Pre-training for Enhancing Recommendations using Side Information
Leveraging the side information associated with entities (i.e. users and...
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06/21/2021
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
Pseudo-relevance feedback mechanisms, from Rocchio to the relevance mode...
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04/18/2021
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems
Recommendation systems are often evaluated based on user's interactions ...
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02/05/2021
Leveraging Review Properties for Effective Recommendation
Many state-of-the-art recommendation systems leverage explicit item revi...
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08/14/2020
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
The incompleteness of positive labels and the presence of many unlabelle...
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07/26/2020
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models
Effective methodologies for evaluating recommender systems are critical,...
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07/15/2020
Deep Reinforced Query Reformulation for Information Retrieval
Query reformulations have long been a key mechanism to alleviate the voc...
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09/17/2019
Variational Bayesian Context-aware Representation for Grocery Recommendation
Grocery recommendation is an important recommendation use-case, which ai...
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07/05/2019
The FACTS of Technology-Assisted Sensitivity Review
At least ninety countries implement Freedom of Information laws that sta...
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06/22/2016