Abstract

Problem statement: Ontological user profile generation was a semantic approach to derive richer concept based user profiles. It depends on the semantic relationship of concepts. This study focuses on ontology to derive concept oriented user profile based on user search queries and clicked documents.This study proposes concept based on topic ontology which derives the concept based user profiles more independently. It was possible to improve the search engine processes more efficiently. Approach: This process consists of individual user’s interests, topical categories of user interests and identifies the relationship among the concepts. The proposed approach was based on topic ontology for concept based user profile generation from search engine logs. Spreading activation algorithm was used to optimize the relevance of search engine results. Topic ontology was constructed to identify the user interest by assigning activation values and explore the topics similarity of user preferences. Results: To update and maintain the interest scores, spreading activation algorithm was proposed. User interest may change over the period of time which was reflected to user profiles. According to profile changes, search engine was personalized by assigning interest scores and weight to the topics. Conclusion: Experiments illustrate the efficacy of proposed approach and with the help of topic ontology user preferences can be identified correctly. It improves the quality of the search engine personalization by identifying the user’s precise needs.

Highlights

  • Web Search engines do an excellent job when the queries are understandable and exact

  • Midstream was developed to group all user information in order to perform the evaluation of user profiling methods

  • The midstream is intended at facilitating experimentation

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Summary

Introduction

Web Search engines do an excellent job when the queries are understandable and exact. Ambiguous queries confuse the search engine and not satisfy the specific needs of the user. Different users may send query to the search engines that are short and ambiguous. Personalization of search engine is not effective on some queries. That search engines generate user profiles to identify and get the users’ actual needs. An effective user profile generation is an important task to customize the search engine to return outputs related to the personal interest of a user (Shen et al, 2005; Dou et al, 2007). Search engine personalization is an active research area which deals with automatic generation of user profiles from the query history and browsed documents. User profiles assist search engine to eliminate ambiguous queries and retrieve relevant documents based on users’ interest. Effective user profiling strategy has to play key role in search engine personalization

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