Impact of Purchasing Power on User Rating Behavior and Purchasing Decision

  • Yong Wang
  • Xiaofei Xu
  • Jun He
  • Chao Chen
  • Ke RenEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10942)


Recommender system have broad and powerful applications in e-commerce, news promotion and online education. As we all know, the user’s rating behavior is generally determined by subjective preferences and objective conditions. However, all the current studies are focused on subjective preferences, ignoring the role of the objective conditions of the user. The user purchasing power based on price is the key objective factor that affects the rating behavior and even purchasing decision. Users’ purchasing decisions are often affected by the purchasing power, and the current researches did not take into account the problem. Thus, in this paper, we consider the influence of user preferences and user purchasing power on rating behavior simultaneously. Then, we designed a reasonable top-N recommendation strategy based on the user’s rating and purchasing power. Experiments on Amazon product dataset show that our method has achieved better results in terms of accuracy, recall and coverage. With ever larger datasets, it is important to understand and harness the predictive purchasing power on the users’ rating behavior and purchasing decisions.


Recommender system Rating behavior Purchasing power Purchasing decision 



This work is supported by “Fundamental Research Funds for the Central Universities” (XDJK2017C027) and “CERNET Innovation Project” (NGII20170516).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Yong Wang
    • 1
  • Xiaofei Xu
    • 1
  • Jun He
    • 1
  • Chao Chen
    • 2
  • Ke Ren
    • 1
    Email author
  1. 1.School of Computer and Information ScienceSouthwest UniversityChongqingChina
  2. 2.Online and Continuing Education CollegeSouthwest UniversityChongqingChina

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