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Open AccessArticle

Research on Relationship Strength under Personalized Recommendation Service

by Wanqiong Tao 1,2,*, Chunhua Ju 1,* and Chonghuan Xu 1
1
School of Business Administration, Zhejiang Gongshang University, Hangzhou 310018, China
2
School of Management Engineering and E-business, Zhejiang Gongshang University, Hangzhou 310018, China
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(4), 1459; https://doi.org/10.3390/su12041459 (registering DOI)
Received: 23 January 2020 / Revised: 13 February 2020 / Accepted: 13 February 2020 / Published: 15 February 2020
(This article belongs to the Special Issue Social Media Usage in Consumer Behavior Evaluation)
Relationship of users in an online social network can be applied to promote personalized recommendation services. The measurement of relationship strength between user pairs is crucial to analyze the user relationship, which has been developed by many methods. An issue that has not been fully addressed is that the interaction behavior of individuals subjected to the activity field preference and interactive habits will affect interactive behavior. In this paper, the three-way representation of the activity field is given firstly, the contribution weight of the activity filed preferences is measured based on the interactions in the positive and boundary regions. Then, the interaction strength is calculated, integrating the contribution weight of the activity field preference and interactive habit. Finally, user relationship strength is calculated by fusing the interaction strength, common friend rate and similarity of feature attribute. The experimental results show that the proposed method can effectively improve the accuracy of relationship strength calculation. View Full-Text
Keywords: personalized recommendation service; activity field preference; three-way method; interactive habit; relationship strength personalized recommendation service; activity field preference; three-way method; interactive habit; relationship strength
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Tao, W.; Ju, C.; Xu, C. Research on Relationship Strength under Personalized Recommendation Service. Sustainability 2020, 12, 1459.

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