45 citations · 270 across the 21 of their papers we have counts for
4 papers · 1 filter
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention
Songwei Ge, Zhicheng Dou, Zhengbao Jiang +2
Search results personalization has become an effective way to improve the quality of search engines. Previous studies extracted information such as past clicks, user topical intere…
A Long-Short Demands-Aware Model for Next-Item Recommendation
Ting Bai, Pan Du, Wayne Xin Zhao +2
Recommending the right products is the central problem in recommender systems, but the right products should also be recommended at the right time to meet the demands of users, so…
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
Wayne Xin Zhao, Gaole He, Hongjian Dou +3
To develop a knowledge-aware recommender system, a key data problem is how we can obtain rich and structured knowledge information for recommender system (RS) items. Existing datas…
A General SIMD-based Approach to Accelerating Compression Algorithms
Wayne Xin Zhao, Xudong Zhang, Daniel Lemire +4
Compression algorithms are important for data oriented tasks, especially in the era of Big Data. Modern processors equipped with powerful SIMD instruction sets, provide us an oppor…