文章基本信息

标题：A Hybrid Recommender System for Service Discovery
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作者：ATEFEH JAJVAND ; MIR ALI SEYYEDI ; AFSHIN SALAJEGHEH 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：6
出版社：S&S Publications
摘要：In this paper, a recommender system for service discovery is presented. It helps the consumers of service-oriented environment to discover and select the most appropriate services from a large number of available ones. The recommender system uses the switching hybrid method, and combines two methods of collaborative filtering and context-aware. The collaborative filtering method uses the known taste of a group of users to produce recommendation to other users. The Context-aware method provides recommendations to the users regarding their environment and the details of the situation in which they are. The proposed approach is yielded to overcome the problem of grey sheep, new consumer, and new service entrance to Collaborative Filtering Recommender system
关键词：Collaborative Filtering Reco mmender Systems; Context-Aware Recommender Systems; service discovery ; in service-oriented architecture; New Co nsumer; New Service