Self-Supervised learning for Conversational Recommendation

Shuokai Li; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Zhenwei Tang; Wayne Xin Zhao; Qing He

doi:10.1016/j.ipm.2022.103067

ScienceGate Book Chapters

JOURNAL ARTICLE

Self-Supervised learning for Conversational Recommendation

Shuokai Li Ruobing Xie Yongchun Zhu Fuzhen Zhuang Zhenwei Tang Wayne Xin Zhao Qing He

Year: 2022 Journal: Information Processing & Management Vol: 59 (6)Pages: 103067-103067 Publisher: Elsevier BV

DOI: 10.1016/j.ipm.2022.103067

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Leverage (statistics) Artificial intelligence Perplexity Mean reciprocal rank Semantic similarity Natural language processing Machine learning Task (project management) Similarity (geometry) Recommender system Information retrieval Language model Image (mathematics)

Metrics

Cited By

6.46

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Self-Supervised learning for Conversational Recommendation

Metrics

Citation History

Topics

Related Documents

Self-Supervised Learning for Recommendation

Large-Context Conversational Representation Learning: Self-Supervised Learning For Conversational Documents

Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation

Conversational Query Rewriting with Self-Supervised Learning

Automated Self-Supervised Learning for Recommendation