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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 12, December 2015
Survey Paper on Website Recommendation System Using Browser History and Domain Knowledge
Harshali Bendale | H. A Hingoliwala
Abstract: With the rapid growth of internet technologies, the web has become the world's largest repository of knowledge. So it is challenging task of the webmasters to organize the contents of the particular websites to gather the needs of the users. This paper presents a new framework for a semantic-enhanced Web-page recommendation. This proposed system consists of three models. First two models represent the domain knowledge. The first model shows domain ontology of website. The second model build semantic network of website using domain terms, web pages and relations between them. The third model is personalized meta-search engine, help users to pick up the useful information for them quickly by using their interest keeping in the database. The proposed system automatically discovers and constructs the domain and Web usage knowledge bases, and generate effective Webpage recommendations.
Keywords: semantic network, web page recommendation, domain ontology, meta search engine
Edition: Volume 4 Issue 12, December 2015,
Pages: 659 - 661
Similar Articles with Keyword 'web page recommendation'
Downloads: 115
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 8, August 2016
Pages: 1796 - 1801Personalized and Effective Web Page Recommendation Search System based on Ontology and Semantic Enhancement
Hurma Begum | B. Sasidhar [3]
Downloads: 119
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 38 - 43Web Page Recommendation Using Efficient Weight Based Prediction System
Sheetal Kumrawat | Pramod S. Nair [2]