UM
A Software Popularity Recommendation Method Based on Evaluation Model
Wang Y.2; Bai P.-X.2; Yang D.-Y.2; Zhou J.-T.2; Song X.1
2018-06-08
Source PublicationProceedings - International Computer Software and Applications Conference
Volume1
Pages454-460
AbstractThe software sharing platform in the Internet provides great convenience for the promotion, application and communication of software (especially source software). But there inevitably exists the problem of software quality on the open Internet platform. How the users choose software to download and use becomes a new challenge for software sharing platforms. Aimed at the above problems and challenges, the internal relations between the data collected on platform and experience of user are analyzed. And then a software popularity recommendation method based on evaluation model is presented. The method constructs two evaluation indexes based on the collected data on the platform, including attention-degree and satisfaction-degree; solves the problem of small sample data's influence on the accuracy of evaluation model by using the Wilson interval model and makes a tradeoff between the recommendation results of old and new software by using Newton cooling law. The experimental results show that the software popularity recommendation method based on evaluation model helps users to screen for software, which can effectively improve the service performance of software sharing platform.
KeywordEvaluation model Recommendation Software popularity Software sharing platform
DOI10.1109/COMPSAC.2018.00070
URLView the original
Language英語
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Portland State University
2.Inner Mongolia University China
Recommended Citation
GB/T 7714
Wang Y.,Bai P.-X.,Yang D.-Y.,et al. A Software Popularity Recommendation Method Based on Evaluation Model[C],2018:454-460.
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