244 citations · 1.5k across the 71 of their papers we have counts for
9 papers · 1 filter
High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility
Cong Fu, Changxu Wang, Deng Cai
Approximate Nearest Neighbor Search (ANNS) in high dimensional space is essential in database and information retrieval. Recently, there has been a surge of interest in exploring e…
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU
Yu Zhu, Yu Gong, Qingwen Liu +6
Recently, interactive recommender systems are becoming increasingly popular. The insight is that, with the interaction between users and the system, (1) users can actively interven…
Textually Guided Ranking Network for Attentional Image Retweet Modeling
Zhou Zhao, Hanbing Zhan, Lingtao Meng +5
Retweet prediction is a challenging problem in social media sites (SMS). In this paper, we study the problem of image retweet prediction in social media, which predicts the image s…
Addressing the Item Cold-start Problem by Attribute-driven Active Learning
Yu Zhu, Jinhao Lin, Shibi He +4
In recommender systems, cold-start issues are situations where no previous events, e.g. ratings, are known for certain users or items. In this paper, we focus on the item cold-star…
A Brand-level Ranking System with the Customized Attention-GRU Model
Yu Zhu, Junxiong Zhu, Jie Hou +4
In e-commerce websites like Taobao, brand is playing a more important role in influencing users' decision of click/purchase, partly because users are now attaching more importance…
Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning
Zheqian Chen, Chi Zhang, Zhou Zhao +1
Community based question answering platforms have attracted substantial users to share knowledge and learn from each other. As the rapid enlargement of CQA platforms, quantities of…
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning
Zheqian Chen, Ben Gao, Huimin Zhang +2
Community based question answering services have arisen as a popular knowledge sharing pattern for netizens. With abundant interactions among users, individuals are capable of obta…
Density Sensitive Hashing
Yue Lin, Deng Cai, Cheng Li
Nearest neighbors search is a fundamental problem in various research fields like machine learning, data mining and pattern recognition. Recently, hashing-based approaches, e.g., L…
Self-Taught Hashing for Fast Similarity Search
Dell Zhang, Jun Wang, Deng Cai +1
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sema…