A Schematic Data Mining Approach for Web Page Recommendation Systems


Authors : Manikandan .R, Ramesh R.

Volume/Issue : Volume 3 - 2018, Issue 10 - October

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/Gg2qtX

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

Abstract : A Novel approach is proposed for a framework based on the data mining techniques for online page recommendation . A recommender system is a software agent that helps in automatically detecting the information which suits an individual need. The recommendation can be made in term of two aspects namely the content based and the collaborative filtering method. With the proper usage of data mining algorithms, the filtration process can be completed before the actual recommendation. This will result in the improvisation of response time.

A Novel approach is proposed for a framework based on the data mining techniques for online page recommendation . A recommender system is a software agent that helps in automatically detecting the information which suits an individual need. The recommendation can be made in term of two aspects namely the content based and the collaborative filtering method. With the proper usage of data mining algorithms, the filtration process can be completed before the actual recommendation. This will result in the improvisation of response time.

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