Customization Of A Generic Search Engine By Adding User Categories

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Title: Customization Of A Generic Search Engine By Adding User Categories
Author: Madkaiker, Ajay Mohandas
Abstract: The current search engines available on the Net are generic in nature . They do not consider user preferences and treat all users information needs in the same way . As a result they frequently return a large number of links , that do not meet the user's information need . This requires more searching to find what the user is looking for . For example if a user is interested in a particular game , e .g . cricket , and enters the query world cup , a generic search engine would return links of all the sports that hold a world cup . The user has to browse through a considerable number of non -relevant pages before he is able to get to links he is looking for . This is also because search engines don't have the ability to ask a few questions and they also can not rely on judgment and past experience to rank web pages , in the way humans can . This raises the issue of customizing a generic search engine to consider user preferences . There have been a number of attempts in the past to personalize the search for information on the Net . These systems are based on relevance feedback methods , similarity measures , or storing a user profile explicitly or implicitly . Some of them have shown impressive results in query expansion and providing pages similar to the user's interest . Here we propose a novel system for personalizing web search . Our method is based on creating a user profile as he performs his routine searches in a given user category . In this customization , the user is allowed to create personal user categories within which he could search for information on the Net without getting too many irrelevant links in his search results . The application enhances the query by adding words that are generated from the user profile stored for a particular user category . It uses information about the probabilistic co -occurrence of words in the user profile with other words in the query as a measure for adding words . The snippets returned from the generic search engine are then classified on the basis of the user profile and are re -ordered according to a measure representing the interest of the user . With our method the user not only gets personalized query expansion but also receives re -ordered search results from the search engine . In this system the query expansion is made to optimize the estimated returns of the search engine , taking into account the classification accuracy and re -ranking of results . The system add words that would give the user the best possible returns according to his user profile .
URI: http : / /hdl .handle .net /10106 /29
Date: 2007-08-23

Citation

Customization Of A Generic Search Engine By Adding User Categories. Available electronically from http : / /hdl .handle .net /10106 /29 .

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