Leveraging semantic features for recommendation: Sentence-level emotion analysis-Reference-Cited by-同舟云学术

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Leveraging semantic features for recommendation: Sentence-level emotion analysis

Published:2021-05 Issue:3 Volume:58 Page:102543
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Yang Chen,Chen Xiaohong,Liu Lei,Sweetser Penny

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference54 articles.

1. Recommendations-based on semantic analysis of social networks in learning environments;Abdelaziz;Computers in Human Behavior,2018

2. Excuseme: Asking users to help in item cold-start recommendations;Aharon,2015

3. Topicmf: Simultaneously exploiting ratings and reviews for recommendation;Bao,2014

4. Cold-Start Item and User Recommendation with Decoupled Completion and Transduction;Barjasteh,2015

5. Comment based Seller Trust model for E-commerce;Bhargava,2016

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