Abstract:

With the widespread usage of web service and the increase of the number of services in Internet, how to recommend the best service selection list is gradually becoming a great challenge. Personalized technology can change the passive acceptance of user request to active awareness of user requirement. Personalized web service recommendation has gradually become the effective supplementary method for service discovery and selection, thus becoming one of research hotspots in service computing field. We analyze and review the techniques and approaches existing in current literatures that are related to personalized web service recommendation. Then we survey the stateoftheart techniques and methods on personalized recommendation of web service and collect open dataset that are used to validate the personalized web service recommendation approach. Finally, a few of research hotspots and challenges of personalized web service recommendation are outlined.

Key words: web service recommendation;collaborative filter;personalization;quality of service