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Personalized Page Rank Algorithm Based on User Profile and Meta Keyword


Nirja Pathak , KITRC; Kruti Patel, KITRC


Page Ranking, Query Expansion, HITS Algorithm, Symantec Query, Web Mining


During the last 3 decades, world wide web has been filled with so many resources from so many topics. So many organizations and personals avail their data and knowledge using websites and various social media platforms. Information regarding any topic is available by searching with keywords on various search engines. Mostly when user search for any product, service or any other information; search engines provides the result based on keywords and rank the result based on matching score of various keywords and other keyword related methods. In most of cases user gets the same result by searching the same query in a particular search engine. There is a scope to re rank the result for every user based on his own profile and users own criteria. Every common result may not be same useful for each user in general way. During our research work we have tried to identify the user behaviour and used the same user behaviour parameter in his next search result. We have expanded the query based on his profile and re-ranked the result. After evaluation we have got significant improvement in data retrieval compared to existing system.

Other Details

Paper ID: IJSRDV7I30141
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 738-740

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