Hybrid recommendation algorithm based on multi-attribute rating from online reviews-Reference-Cited by-同舟云学术

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Hybrid recommendation algorithm based on multi-attribute rating from online reviews

Published:2019-05-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Turing Celebration Conference - China
language:
Short-container-title:

Author:

Li Jinhai¹,Qian Zhunan¹,Zhang Peng¹,He Youshi²

Affiliation:

1. Taizhou University, Taizhou, China

2. Jiangsu University, Zhenjiang

Funder

Philosophy and Social Science Foundation of the Jiangsu Higher Education Institutions of China

Social Development Project (Instructional) Supported by Science and Technology of Taizhou 2017

Humanity and Social Science Youth Foundation of Ministry of Education of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Social Science Foundation of Jiangsu Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3321408.3326669

Reference17 articles.

1. On the research frontiers of business management in the context of big data;Feng Z. Y.;Journal of Management Sciences in China,2013

2. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

3. Social influence in group recommender systems;Christensen I. A.;Online Information Review,2014

4. Utilizing learning process to improve recommender system for group learning support

5. New Recommendation Techniques for Multicriteria Rating Systems

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