閱讀全文 | |
篇名 |
User Portrait-based Hybrid Recommendation Method of Web Services
|
---|---|
並列篇名 | User Portrait-based Hybrid Recommendation Method of Web Services |
作者 | Chao Ma、Zhihao Wang、Pengyu Cheng、Xiaoqi Liu、Haining Yu、Hongguo Zhang |
英文摘要 | As an effective means to solve information overload, service recommendation has become one of the main research directions of the scholars belonging to service computing domain. However, there are still some problems in traditional service recommendation methods, such as low accuracy of recommendation result and cold start for new users. For this reason, this paper proposes a hybrid recommendation method of web services based on user portrait. Firstly, this method establishes the user portrait model by considering the user’s natural attributes and interest attributes; Secondly, this method calculates the user portrait similarity on the basis of user portrait model and the user rating similarity on the basis of user rating matrix simultaneously, then combines social trust degree together by considering the trust relationship between users in user’s social networks; finally, the user portrait model, user similarity and social trust degree are integrated into the hybrid recommendation method of web services, so as to obtained the more accurate recommendation result for users. The experimental results show that the proposed method improves the accuracy of the recommendation result, and effectively alleviates the cold start problem. |
起訖頁 | 197-212 |
關鍵詞 | service recommendation、user portrait model、user similarity、social trust degree |
刊名 | 電腦學刊 |
期數 | 202104 (32:2期) |
DOI |
|
QR Code | |
該期刊 上一篇
| Sports Video Key Pose Data Incremental Mining Algorithm Based on Deep Learning |
該期刊 下一篇
| Design and Realization of Cooperative Processing System for Cross-regional Judicial Business |