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 Publication | Proceedings - International Computer Software and Applications Conference |
Volume | 1 |
Pages | 454-460 |
Abstract | The 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. |
Keyword | Evaluation model Recommendation Software popularity Software sharing platform |
DOI | 10.1109/COMPSAC.2018.00070 |
URL | View the original |
Language | 英語 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | University of Macau |
Affiliation | 1.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. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment