activity
20162026
most citedSession-based Recommendation with Graph Neural Networks

1.5k citations · 4.9k across the 104 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.IR2016★ 3 cited

MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation

Qiang Cui, Shu Wu, Qiang Liu +2

Sequential recommendation is a fundamental task for network applications, and it usually suffers from the item cold start problem due to the insufficiency of user feedbacks. There…

cs.SI2016★ 7 cited

ICE: Information Credibility Evaluation on Social Media via Representation Learning

Qiang Liu, Shu Wu, Feng Yu +2

With the rapid growth of social media, rumors are also spreading widely on social media and bring harm to people's daily life. Nowadays, information credibility evaluation has draw…

cs.IR2016★ 23 cited

Context-aware Sequential Recommendation

Qiang Liu, Shu Wu, Diyi Wang +2

Since sequential information plays an important role in modeling user behaviors, various sequential recommendation methods have been proposed. Methods based on Markov assumption ar…

cs.IR2016★ 3 cited

Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model

Qiang Liu, Shu Wu, Liang Wang

With the rapid growth of Internet applications, sequential prediction in collaborative filtering has become an emerging and crucial task. Given the behavioral history of a specific…

cs.MM2016★ 226 cited

A Comprehensive Survey on Cross-modal Retrieval

Kaiye Wang, Qiyue Yin, Wei Wang +2

In recent years, cross-modal retrieval has drawn much attention due to the rapid growth of multimodal data. It takes one type of data as the query to retrieve relevant data of anot…