6 citations · 17 across the 5 of their papers we have counts for
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cs.IR2021★ 5 cited
Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation
Zhichao Xu, Hansi Zeng, Qingyao Ai
Modern E-commerce websites contain heterogeneous sources of information, such as numerical ratings, textual reviews and images. These information can be utilized to assist recommen…
cs.IR2021★ 4 cited
A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System
Hansi Zeng, Zhichao Xu, Qingyao Ai
User and item reviews are valuable for the construction of recommender systems. In general, existing review-based methods for recommendation can be broadly categorized into two gro…
cs.IR2020★ 6 cited
E-commerce Recommendation with Weighted Expected Utility
Zhichao Xu, Yi Han, Yongfeng Zhang +1
Different from shopping at retail stores, consumers on e-commerce platforms usually cannot touch or try products before purchasing, which means that they have to make decisions whe…