Intelligent Water Drop Algorithm based Web Page Recommendation Using Linear Regression Learning-Reference-Cited by-同舟云学术

Intelligent Water Drop Algorithm based Web Page Recommendation Using Linear Regression Learning

Published:2021-09-30 Issue: Volume: Page:93-100
ISSN:2321-581X
Container-title:Research Journal of Engineering and Technology
language:en
Short-container-title:RJET

Author:

B Pavithra¹,Niranjanmurthy M.²

Affiliation:

1. Research Scholar, Department of Computer Applications, M S Ramaiah Institute of Technology, Affiliated to Visvesvaraya Technological University, Belagavi 560 054.

2. Assistant Professor, Department of Computer Applications, M S Ramaiah Institute of Technology, Affiliated to Visvesvaraya Technologial University, Belagavi 560 054.

Abstract

Analysis of website visitor for improving the performance of user experience on web portal is primary requirement in this online world. Hence number of web-based feature was used for the study of user behavior and recommend page accordingly. This research work presents the utilization of weblog feature for analysis and pattern learning. Proposed model extract association rule forms the weblog with text pattern format on the web page. Here we have considered the input data set from a live website’s weblogs called as project tunnel.com. Association rule and text URL patterns were used for learning multi-Regression probability generation. Once the regression value is set than Intelligent Water Drop Algorithm will be applied for predicting or recommending the next page as per user previous set of pages, where IWD algorithm increases the accuracy of prediction by utilizing the regression values in fitness function. Live websites weblogs were analyzed for the experiment and comparison of proposed WPPIWD (Web Page Prediction Intelligent Water Drop) has improved the work efficiency when compared to other existing methods.

Publisher

A and V Publications

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