JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 18 ›› Issue (6): 24-30.

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Personalized Recommendation and Its Future Prospect: Based on the Perspective #br# of Management and Consumer Behavior

  

  1. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing
    100876, China
  • Received:2016-10-20 Online:2016-12-31

Abstract:

 Personalized recommendation has great influence on raising online shopping efficiency and increasing
product sales. The ways to provide more efficient personalized recommendations have drawn researchers’ attention.
Most existing studies focus on how to improve the accuracy and efficiency of the recommendation algorithms, or are
more concerned about ways to increase consumer satisfaction and the impact factors of personalized recommendation
adoption. Unlike previous studies, first the current mainstream algorithms of recommendation system are
summarized. Then based on the perspectives of management and consumer behavior, the current research status and
results of personalized recommendation are mainly introduced from three aspects: recommendation timing,
recommendation product portfolio and recommendation efficiency. It is pointed out the research of personalized
recommendation has much potential and research value, and finally the future research trends and prospects are put
forward.

Key words:

efficiency

CLC Number: