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Comparative Analysis of Recommender Systems of Research Social Networking Service
Received date: 2016-01-27
Revised date: 2016-04-14
Online published: 2016-05-05
[Purpose/significance] Research social networking service has the same problem of information overload as the popular social networking service. The recommender system is an important measure to solve this problem. Compared with the foreign research social networking service, this paper finds out the problems of the recommender system of China's research social networking service,to provide valuable information to solve such problem.[Method/process] This paper compares the recommender systems of four research social networking services of ResearchGate, Academia, Scholarmate and Scholat, from four aspects of recommending item, recommending strategy, cold start scheme and user preference learning method.[Result/conclusion] It finds that the recommender system of research social networking service of China has a obvious gap compared with foreign counterparts in above aspects. The problems include the fewer recommending items, insufficiency recommending strategies, poor effects of cold start, and weak abilities of user preference learning. Finally, it puts forwards some measures to solve these problems.
Key words： research; social networking services; recommender systems
Liu Xianhong , Li Gang . Comparative Analysis of Recommender Systems of Research Social Networking Service[J]. Library and Information Service, 2016 , 60(9) : 116 -122 . DOI: 10.13266/j.issn.0252-3116.2016.09.016
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