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  • Conformity Influence Meeting Evolving Consumer Experience in Recommender Systems
  • https://doi.org/10.1145/3127404.3127425Copy DOI Icon

Conformity Influence Meeting Evolving Consumer Experience in Recommender Systems

  • Sep 22, 2017
  • Yong Wang +1 more
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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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