• THANAMMAL INDU V
• GOKULDHEV M

Web-page recommendation plays an important role in intelligent Web systems. Domain ontology represents the semantics of web-pages of a website. Web usage data gives knowledge about user’s browsing patterns. Web semantics mining defines the context of a web page. The time spent on a web page indicates the interest level of a user. This paper proposes a system which evaluates user’s interest based on combination of semantic enhancement, web usage data, content of web pages and the time spent by users on web pages. Domain ontology and semantic network are proposed to represent the domain knowledge; a conceptual prediction model is proposed to represent a semantic network of the semantic web usage knowledge. Term frequency keyword extraction method is proposed to perform semantic mining. A number of effective queries have been developed. Based on these queries, recommendation strategies have been proposed.

Web-page recommendation, Web usage mining, Semantic mining, Domain ontology

"WEB-PAGE RECOMMENDATION BASED ON CONCEPTUAL PREDICTION MODEL SUPPORTED BY WEB-SEMANTICS AND SESSION TIME ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.406-412, June 2019, Available :http://www.jetir.org/papers/JETIR1906K47.pdf

"WEB-PAGE RECOMMENDATION BASED ON CONCEPTUAL PREDICTION MODEL SUPPORTED BY WEB-SEMANTICS AND SESSION TIME ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp406-412, June 2019, Available at : http://www.jetir.org/papers/JETIR1906K47.pdf