13 citations · 44 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…