7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.IR2019
Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation
Liang Zhang, Guannan Liu, Junjie Wu
Given the effectiveness and ease of use, Item-based Collaborative Filtering (ICF) methods have been broadly used in industry in recent years. The key of ICF lies in the similarity…
cs.IR2019★ 1 cited
Recommendation with Attribute-aware Product Networks: A Representation Learning Model
Guannan Liu, Liang Zhang, Junjie Wu +1
With the prosperity of business intelligence, recommender systems have evolved into a new stage that we not only care about what to recommend, but why it is recommended. Explainabi…
stat.AP2011★ 7 cited
Modeling item--item similarities for personalized recommendations on Yahoo! front page
Deepak Agarwal, Liang Zhang, Rahul Mazumder
We consider the problem of algorithmically recommending items to users on a Yahoo! front page module. Our approach is based on a novel multilevel hierarchical model that we refer t…