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 2020Show all

6 papers · 1 filter

cs.IR2020★ 2 cited

Mixed Information Flow for Cross-domain Sequential Recommendations

Muyang Ma, Pengjie Ren, Zhumin Chen +4

Cross-domain sequential recommendation is the task of predict the next item that the user is most likely to interact with based on past sequential behavior from multiple domains. O…

cs.CL2020★ 7 cited

Meaningful Answer Generation of E-Commerce Question-Answering

Shen Gao, Xiuying Chen, Zhaochun Ren +2

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

cs.CL2020★ 3 cited

Knowledge Bridging for Empathetic Dialogue Generation

Qintong Li, Piji Li, Zhaochun Ren +2

Lack of external knowledge makes empathetic dialogue systems difficult to perceive implicit emotions and learn emotional interactions from limited dialogue history. To address the…

cs.CL2020★ 5 cited

From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information

Shen Gao, Xiuying Chen, Zhaochun Ren +2

Text summarization is the research area aiming at creating a short and condensed version of the original document, which conveys the main idea of the document in a few words. This…

cs.IR2020★ 5 cited

Conversations with Search Engines: SERP-based Conversational Response Generation

Pengjie Ren, Zhumin Chen, Zhaochun Ren +3

In this paper, we address the problem of answering complex information needs by conversing conversations with search engines, in the sense that users can express their queries in n…

cs.CL2020★ 15 cited

A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation

Minghong Xu, Piji Li, Haoran Yang +4

Unstructured Persona-oriented Dialogue Systems (UPDS) has been demonstrated effective in generating persona consistent responses by utilizing predefined natural language user perso…