RANKING CONCEPT-BASED USER PROFILE FROM SEARCH ENGINE LOGS
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1
Abstract
Commercial search engines return roughly the same results for the same query, regardless of the user’s real interest. Since queries submitted to search engines tend to be short and ambiguous, they are not likely to be able to express the user’s precise needs. In existing system, most existing user profiling strategies are based on objects that users are interested in (i.e., positive preferences), but not the objects that users dislike (i.e., negative preferences). Experimental results show that profiles which capture and utilize both of the user’s positive and negative preferences perform the best and also negative preferences can increase the separation between similar and dissimilar queries. The separation can be achieved by using agglomerative clustering algorithm to terminate and improve the overall quality of the resulting query clusters. In the proposing system, queries submitted to search engines, they are likely to be able to express the user’s precise needs and the concept based user profiles can be integrated into the ranking algorithms of a search engine so that search results can be ranked according to individual user’s interests. This technique improves a search engine’s performance by identifying the information needs for individual users.
Authors and Affiliations
R. Kokila , Mrs. N. Krishnammal
Keywords
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