文章基本信息

标题：A Survey on Domain Relevant Web-Page Recommendation Using Ontology and Web Usage Knowledge
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作者：Shubhada S. Mali ; Prof. S. S. Nandgaonkar
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：2015
卷号：3
期号：11
DOI：10.15680/IJIRCCE.2015.0311094
出版社：S&S Publications
摘要：The World Wide Web provides different kind of web recommendations which are made available tousers every day that includes image, audio, video, query suggestion and web page. Web-page recommendations play animportant role in intelligent web system. Web Usage mining is the process of retrieving useful knowledge such assequential patterns from web usage log. The predicted navigational patterns from the user’s web usage log are used toprovide personalized web-page recommendations. This paper proposes better web-page recommendation by integratingweb usage and domain knowledge via the three new knowledge representation models and a set of web-pagerecommendation strategies. First model is an ontology-based model which is used to represent the domain knowledgeof a website or captures the domain of interest of particular user. The second model is the semantic network, which is akind of knowledge map which represents domain terms, web-pages and relationship between them. The third model isthe Conceptual Prediction Model (CPM), which is the combination of domain knowledge and web-usage knowledge.The recommendation strategies make use of the domain knowledge and prediction model to predict and recommendthe next web-pages. This web-page recommendation system provides higher performance than existing Web UsageMining (WUM) method.
关键词：Domain ontology; semantic knowledge representation; semantic network; web usage mining; web page;recommendation.