文章基本信息

标题：An Effective Web Service Selection based on Hybrid Collaborative Filtering and QoS-Trust Evaluation
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作者：S. Urmela ; K. Suresh Joseph
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：3
页码：665-672
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Web Service mining has become one of the predominant areas of Service Oriented Architecture. Web service discovery methods include syntactic based system and semantic based system. In the proposed work, both syntactic and semantic based approach is followed. The most widely used recommender technique is collaborative filtering. In this paper, we proposed architecture for Web Service Selection based on Hybrid Collaborative Filtering (Memory and Model based Collaborative Filtering) and QoS-Trust evaluation. Memory based Collaborative Filtering is achieved by matrix formulation and Model based Collaborative Filtering is achieved by Cluster Based Hierarchical Probabilistic Latent Semantic Analysis ¨C Feature ext ractor model. The proposed work addresses various collaborative filtering problems namely, cold-start problem, gray sheep problem, synonym problem, ramp-up problem, shillings attack, data sparsity and scalability.
关键词：Web Service; recommendation system;Collaborative Filtering; Cluster Based Hierarchical;Probabilistic Latent Semantic Analysis – Feature extractor