Conformity Influence Meeting Evolving Consumer Experience in Recommender Systems
Authors: 
Yong Wang, Li LiAuthors Info & Claims
Yong Wang, Li LiAuthors Info & ClaimsPages 72 - 79
Abstract
Nowadays, recommender systems have become a hot research area. It plays an important role in providing personalized information. Recent research has considered the evolution of consumer tastes over time. But these studies are all from the perspective of the community to study the evolution of the overall taste. As a matter of fact, because of the different personal experiences, each person's tastes will evolve in different ways. In this paper, we consider the evolution of tastes on a personal level. At the same time, we model the influence of conformity psychology. That is, to consider the impact of public ratings on consumers at different levels of experience. Finally, we proposed the Experience and Conformity Probability Decomposition (ec-MF) model and apply the model to three real data sets. Experiments show that our model achieves better results. Besides, We find that there is a close connection between the level of personal experience and the conformity mentality. There are also significant differences in rating behaviors among consumers at different experience levels.
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Index Terms
- Conformity Influence Meeting Evolving Consumer Experience in Recommender Systems
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Information & Contributors
Information
Published In
September 2017
269 pages
ISBN:9781450353526
DOI:10.1145/3127404
- General Chairs:
- Zili Zhang,
- Ning Gu,
- Program Chairs:
- Shaozi Li,
- Tun Lu,
- Li Li
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Published: 22 September 2017
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ChineseCSCW '17
ChineseCSCW '17: Chinese Conference on Computer Supported Cooperative Work and Social Computing
September 22 - 23, 2017
Chongqing, China
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ChineseCSCW '17 Paper Acceptance Rate 21 of 84 submissions, 25%;
Overall Acceptance Rate 21 of 84 submissions, 25%
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