A Design and Implementation of Ranking Search Results Based on LC2R and LBRM

 S. Geetharani

A Design and Implementation of Ranking Search Results Based on LC2R and LBRM

Keywords : Personalized search, User profile, Ranking Algorithm, LBRM and Search eng


Personalized search is an essential research area that has main goal to determine the uncertainty of query terms. In order to enhance the relevance of search results, personalized search engines form user profiles which is captures the users’ personal preferences and by using those preference find out the actual goal of the input query. By using User profile we can rank the documents in a search engine according to the query which is submitted by user. A better user profiling strategy is an important and primary component in search engine personalization. Many researches are developed for the personalized search based on the user profile in recent years. Our early work, proposed a novel technique i.e., Link-Click-Concept based Ranking Algorithm. In this work, The Link-Click-Concept user profiling strategy extracts user’s conceptual preferences from user’s click through data resulted from the web search. These preferences are used to rank the pages in a search engine. The LC2R Method is robust, and generic but the query results vary from location to location. Then this research adopts LC2R method in the area of location. The user location is a major factor for determining search results relevancy. So a Location-based Ranking Method (LBRM) is proposed to know the location effects of the queries. It ranks the search results by considering the similarity between the location and retrieved pages. In addition, users’ locations (positioned by GPS) are used to complement the location concepts in LBRM.


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