Geetha rani, S (2013) A New Ranking Algorithm for Ranking Search Results of Search Engine based on Personalized User Profile. International Journal of Computer Applications, 74 (15). pp. 7-11. ISSN 0975 – 8887

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Abstract

The user profile is a main component in personalization
applications. An accurate user profile can greatly improve a
search engine’s performance by identifying the information
needs of individual users. The desired information can be
obtained by submitting the respective query. Different query
gives different information. The information which is more
relevant for the given query can be analyzed and evaluated.
The user profile is used to rank the documents in a search
engine for a submitted query. Many user profiling strategies
based on positive preferences preferences (i.e., Objects that users are interested in). Later some user profiling strategies were based on both positive as well as negative preferences (i.e., objects that users dislike).In Existing research only the count of a click can be evaluated. In this research, click count as well as Link-Click based Ranking Algorithm is being proposed. In this Algorithm the count of click of each query concept can be evaluated as well as the link also evaluated in the submitted query for three user profiling strategies. The relevance between the query and information obtained can be analyzed, evaluated and ranked. The goal of the proposed ranking approach is providing the user with more satisfied results to get relevant information based on Link and Click approach rather than Click count.

Item Type: Article
Uncontrolled Keywords: User profile strategies, Search engine, Link and Click–based Ranking Algorithm
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 20 Apr 2022 08:16
Last Modified: 20 Apr 2022 08:16
URI: http://ir.psgcas.ac.in/id/eprint/1156

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