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A Technique for Web Page Ranking by Applying Reinforcement Learning

by Vivek Deshmukh, S. S. Barve
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 7
Year of Publication: 2016
Authors: Vivek Deshmukh, S. S. Barve
10.5120/ijca2016911237

Vivek Deshmukh, S. S. Barve . A Technique for Web Page Ranking by Applying Reinforcement Learning. International Journal of Computer Applications. 155, 7 ( Dec 2016), 1-4. DOI=10.5120/ijca2016911237

@article{ 10.5120/ijca2016911237,
author = { Vivek Deshmukh, S. S. Barve },
title = { A Technique for Web Page Ranking by Applying Reinforcement Learning },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 7 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number7/26614-2016911237/ },
doi = { 10.5120/ijca2016911237 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:00:36.793326+05:30
%A Vivek Deshmukh
%A S. S. Barve
%T A Technique for Web Page Ranking by Applying Reinforcement Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 7
%P 1-4
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ranking of site pages is for showing important web pages to client inquiry it is a one of the essential issue in any web search index tool. Today’s need is to get significant data to client inquiry. Importance of web pages is depending on interest of users. There are two ranking algorithm is utilized to demonstrate the current raking framework. One is page rank and another is BM25 calculation. Reinforcement learning strategy learns from every connection with dynamic environment. In this paper Reinforcement learning (RL) ranking algorithm is proposed. In this learner is specialist who learns through interactopm with dynamic environment and gets reward of an activity performed. Every site page is considered as a state and fundamental point is to discover score of website page. Score of website pages is identified with number of out connections from current website page .Rank scores in RL rank as considered in recursive way. Along these lines we can enhance outcomes with help of RL method in ranking algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Ranking Search engine Agent Value function Reinforcement Learning Artificial intelligence

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