会议专题

Web Services Recommendation Based On Users Behavior

The tremendous growth in the amount of available web services (WS) impulses many researchers on proposing recommender systems to help users discover services. Most of the proposed solutions analyzed query strings and web service descriptions to generate recommendations. However, text based recommendations approaches depend mainly on user’s perspective, languages and notations which easily decrease recommendation’s efficiency. Moreover, new published web services often have lower priorities to be selected for recommendations. In this paper, we propose to take into account user’s behaviors instead of text based analysis. We apply collaborative filtering technique on user’s interactions. We propose and implement three algorithms (user-based, operation-based and priority-based) to validate our approach. We also provide evaluation methods which indicate that our approach produces high quality recommendations in case users have stable behavior.

web service recommender system usage-based filtering cosine similarity

Nguyen Ngoc Chan Walid Gaaloul Samir Tata

Information Department TELECOM & Management SudParis UMR 5157 CNRS Samovar, France

国际会议

2010 IEEE International Conference on e-Business Engineering(2010年电子商务工程国际研讨会 ICEBE 2010)

上海

英文

214-221

2010-11-10(万方平台首次上网日期,不代表论文的发表时间)