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The number of Web services are growing rapidly on the Internet. Topics of services are becoming various. Semantic-based keyword search is used to retrieve proper services for service consumers. According to the semantic information implied in service database, we build a topic model to cluster and management related services. Our service recommendation approach can extract service patterns from correlated...
Privacy preservation in location-based proximity services has recently received considerable attention in geo-social networks. Nearby friends notification and social discoveries are two important types of location-based proximity services. A large number of privacy protection methods have been proposed on nearby friends notification, but few on social discoveries. Most of existing protection methods...
With the development of Service Computing and Big Data research, more and more heterogeneous data generated in the process of Service Computing attracts our attention. Combining correlated data sources may help improve the performance of a given task. For example, in service recommendation, one can combine (1) user profile data (e.g. Genders, age, etc.), (2) user log data (e.g., Click through data,...
In this paper, a fragmental proxy-caching scheme that efficiently manages the streaming multimedia data in proxy cache is proposed to improve the quality of streaming multimedia services. The novel data-fragmentation method in this scheme not only provides finer granularity caching units to allow more effective cache replacement, but also offers a unique and natural way of handling the interactive...
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