WEB PAGE RECOMMENDATION SYSTEM USING RADIAL BASIS NEURAL NETWORK TECHNIQUE

Abstract

ABSTRACT WEB PAGE RECOMMENDATION SYSTEM USING RADIAL BASIS NEURAL NETWORK TECHNIQUE A web page recommendation system using radial basis neural network technique and method comprising searching and extracting webpages or webpage image database from given input query word, applying normalization for parameters individually to eliminate redundant and ambiguities in database, applying Radial Basis Function Neural Network (RBFNN) to rank the database to list the input query after eliminating all irregular data from database, analyzing and sorting list of input queries in descending order based upon the ranking parameters and considering the first three web pages based upon this parameter ranking as recommended web pages and remaining web pages as searched web pages. Whereas, the database contains parameters of web pages such as URLs, URLs ID, Reference count, time spent on the URL, number of times the URL is visited, number of times the URL is visited in last twenty four hours, and number of times the URL is visited in last one week. The neural network concept is applied to the parameters after normalizing the parameters of web pages to obtain good and efficient results that are of interest to the users.

Specification

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