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

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.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe