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 2019Show all

5 papers · 1 filter

cs.CL2019★ 12 cited

EmpDG: Multiresolution Interactive Empathetic Dialogue Generation

Qintong Li, Hongshen Chen, Zhaochun Ren +3

A humanized dialogue system is expected to generate empathetic replies, which should be sensitive to the users' expressed emotion. The task of empathetic dialogue generation is pro…

cs.IR2019★ 1 cited

Meta Matrix Factorization for Federated Rating Predictions

Yujie Lin, Pengjie Ren, Zhumin Chen +5

Federated recommender systems have distinct advantages in terms of privacy protection over traditional recommender systems that are centralized at a data center. However, previous…

cs.IR2019★ 2 cited

Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations

Wenchao Sun, Muyang Ma, Pengjie Ren +5

Sequential recommendation is a task in which one models and uses sequential information about user behavior for recommendation purposes. We study sequential recommendation in a par…

cs.IR2019★ 61 cited

Improving Outfit Recommendation with Co-supervision of Fashion Generation

Yujie Lin, Pengjie Ren, Zhumin Chen +3

The task of fashion recommendation includes two main challenges: visual understanding and visual matching. Visual understanding aims to extract effective visual features. Visual ma…

cs.CL2019★ 3 cited

Product-Aware Answer Generation in E-Commerce Question-Answering

Shen Gao, Zhaochun Ren, Yihong Eric Zhao +3

In e-commerce portals, generating answers for product-related questions has become a crucial task. In this paper, we propose the task of product-aware answer generation, which tend…