2 citations · 6 across the 6 of their papers we have counts for
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cs.IR2022
Detect Professional Malicious User with Metric Learning in Recommender Systems
Yuanbo Xu, Yongjian Yang, En Wang +2
In e-commerce, online retailers are usually suffering from professional malicious users (PMUs), who utilize negative reviews and low ratings to their consumed products on purpose t…
cs.IR2022★ 2 cited
A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems
Yuanbo Xu, En Wang, Yongjian Yang +1
Most NN-RSs focus on accuracy by building representations from the direct user-item interactions (e.g., user-item rating matrix), while ignoring the underlying relatedness between…
cs.IR2022★ 1 cited
Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems
Yuanbo Xu, Yongjian Yang, En Wang
Classical accuracy-oriented Recommender Systems (RSs) typically face the cold-start problem and the filter-bubble problem when users suffer the familiar, repeated, and even predict…