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20182025
most citedWeakly Supervised Deep Hyperspherical Quantization for Image Retrieval

13 citations · 44 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.IR2025

T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval

Xuejun Chang, Zaiqiao Meng, Debasis Ganguly

Retrievability of a document is a collection-based statistic that measures its expected (reciprocal) rank of being retrieved within a specific rank cut-off. A collection with unifo…

cs.IR20218 cited

Graph Neural Pre-training for Enhancing Recommendations using Side Information

Zaiqiao Meng, Siwei Liu, Craig Macdonald +1

Leveraging the side information associated with entities (i.e. users and items) to enhance the performance of recommendation systems has been widely recognized as an important mode…

cs.IR20204 cited

Exploring Data Splitting Strategies for the Evaluation of Recommendation Models

Zaiqiao Meng, Richard McCreadie, Craig Macdonald +1

Effective methodologies for evaluating recommender systems are critical, so that such systems can be compared in a sound manner. A commonly overlooked aspect of recommender system…

cs.IR20197 cited

Variational Bayesian Context-aware Representation for Grocery Recommendation

Zaiqiao Meng, Richard McCreadie, Craig Macdonald +1

Grocery recommendation is an important recommendation use-case, which aims to predict which items a user might choose to buy in the future, based on their shopping history. However…

cs.IR2018

Neural Variational Hybrid Collaborative Filtering

Teng Xiao, Shangsong Liang, Hong Shen +1

Collaborative Filtering (CF) is one of the most used methods for Recommender System. Because of the Bayesian nature and nonlinearity, deep generative models, e.g. Variational Autoe…