237 citations · 2.1k across the 121 of their papers we have counts for
5 papers · 1 filter
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
Qitian Wu, Hengrui Zhang, Xiaofeng Gao +2
Recommendation models can effectively estimate underlying user interests and predict one's future behaviors by factorizing an observed user-item rating matrix into products of two…
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
Wen Wang, Wei Zhang, Shukai Liu +4
Session-based target behavior prediction aims to predict the next item to be interacted with specific behavior types (e.g., clicking). Although existing methods for session-based b…
Visually Explainable Recommendation
Xu Chen, Yongfeng Zhang, Hongteng Xu +3
Images account for a significant part of user decisions in many application scenarios, such as product images in e-commerce, or user image posts in social networks. It is intuitive…
Learning the Gain Values and Discount Factors of DCG
Ke Zhou, Hongyuan Zha, Gui-Rong Xue +1
Evaluation metrics are an essential part of a ranking system, and in the past many evaluation metrics have been proposed in information retrieval and Web search. Discounted Cumulat…
Bipartite graph partitioning and data clustering
H. Zha, X. He, C. Ding +2
Many data types arising from data mining applications can be modeled as bipartite graphs, examples include terms and documents in a text corpus, customers and purchasing items in m…