A Survey of Personalize Page Ranking Using Genetic Algorithm and Dynamic Profile
Author(s):
Sweta D. Rathod, Sweta D. Rathod1, Aakash Shah
Keywords:
Personalize Page-ranking, Personalize web search , Genetic Algorithm, Dynamic profile, User domain , Active stay time, Click information, Implicit and Explicit feedback
Abstract
Web mining is process of analyzing and mining the web to find useful information. The World Wide Web expanding, everyday huge amount of data is added to the web. Retrieving relevant information in a web is becoming difficult task day by day. People want to get accurate and appropriate data at the top of the search results in user friendly manner and also want to get personal space over the Internet. Every user has a different and unique background and has a particular aim when searching information on web. Web page ranking is an essential factor in web search. Therefore, Personalize system is used to tailoring search results to a individual user based on user interest and preferences .User’s profile or log provides an important input for personalization. In proposed work , genetic algorithm is use to find best feature term selection based on fitness relevancy and use dynamic profile information for personalize page ranking to get more efficient and effective search result in short duration of time.
Article Details
Unique Paper ID: 144140

Publication Volume & Issue: Volume 3, Issue 7

Page(s): 75 - 80
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