基于管理和消费者行为视角的个性化推荐研究与展望

北京邮电大学学报(社科版) ›› 2016, Vol. 18 ›› Issue (6): 24-30.

基于管理和消费者行为视角的个性化推荐研究与展望

北京邮电大学经济管理学院，北京100876

收稿日期:2016-10-20 出版日期:2016-12-31
基金资助:
教育部人文社会科学研究规划基金（16YJA630063）

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

School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing
100876, China

Received:2016-10-20 Online:2016-12-31

摘要/Abstract

摘要：

个性化推荐对于提升网络购物的效率、促进产品的销售具有非常重要的影响，如何提升个性化推荐的效果受到了研究人员的

广泛关注。先前研究大多数关注如何提升推荐算法的精确性和效率，或者关注如何提升消费者的推荐满意度以及个性化推荐采纳的

影响因素。与既往研究不同，本文首先阐述了目前推荐系统采用的主流算法，而后基于管理和消费者行为的视角，从推荐时机、推

荐产品组合、推荐效果三方面重点介绍了目前以该视角对个性化推荐的研究现状及研究成果，指出该研究方向具有较大的挖掘空间

和研究价值，最后提出个性化推荐未来的研究趋势与展望。

关键词: 个性化推荐, 推荐时机, 推荐产品组合, 推荐效果

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:

personalized recommendation, recommendation timing, recommendation product portfolio, recommendation

efficiency

中图分类号:

F713.365.2

张琳，闫强. 基于管理和消费者行为视角的个性化推荐研究与展望[J]. 北京邮电大学学报(社科版), 2016, 18(6): 24-30.

ZHANG Lin, YAN Qiang. Personalized Recommendation and Its Future Prospect: Based on the Perspective #br# of Management and Consumer Behavior[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 18(6): 24-30.

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