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Collaborative Recommendation Based on FRUTAI Algorithm for Boolean Mobile Learning Resources
Received date: 2016-11-13
Revised date: 2016-12-13
Online published: 2017-02-05
[Purpose/significance] The research aims to propose a collaborative recommendation method for boolean resource in mobile learning platform.[Method/process] Firstly, the nearest neighbor set of the target users is determined based on FRUTAI algorithm. Secondly, after filling the user data, a collaborative recommendation method for Boolean resource is put forward. Thirdly, the result of the recommendation according to relevant methods is assessed.[Result/conclusion] Empirical results suggest that the recommendation method proposed has a good result by using of Douban as the data set. The improved collaborative recommendation algorithm can be effectively applied to boolean resources in mobile learning platform, and has a perfect effect on recommendation.
Xia Lixin , Bi Chongwu , Cheng Xiufeng . Collaborative Recommendation Based on FRUTAI Algorithm for Boolean Mobile Learning Resources[J]. Library and Information Service, 2017 , 61(3) : 14 -20 . DOI: 10.13266/j.issn.0252-3116.2017.03.002
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