activity
20172024
most citedNeural Rating Regression with Abstractive Tips Generation for Recommendation

306 citations · 1.1k across the 61 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CL2018★ 3 cited

Abstractive Text Summarization by Incorporating Reader Comments

Shen Gao, Xiuying Chen, Piji Li +4

In neural abstractive summarization field, conventional sequence-to-sequence based models often suffer from summarizing the wrong aspect of the document with respect to the main as…

cs.IR2018★ 17 cited

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

Pengjie Ren, Zhumin Chen, Jing Li +3

Recurrent neural networks for session-based recommendation have attracted a lot of attention recently because of their promising performance. repeat consumption is a common phenome…

cs.LG2018★ 23 cited

Streaming Graph Neural Networks

Yao Ma, Ziyi Guo, Zhaochun Ren +3

Graphs are essential representations of many real-world data such as social networks. Recent years have witnessed the increasing efforts made to extend the neural network models to…

cs.CL2018★ 59 cited

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation

Xisen Jin, Wenqiang Lei, Zhaochun Ren +4

The task of dialogue generation aims to automatically provide responses given previous utterances. Tracking dialogue states is an important ingredient in dialogue generation for es…

cs.IR2018★ 128 cited

Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation

Yujie Lin, Pengjie Ren, Zhumin Chen +3

Most previous work on outfit recommendation focuses on designing visual features to enhance recommendations. Existing work neglects user comments of fashion items, which have been…