The World-Wide Web: quagmire or gold mine?
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 2nd international conference on Knowledge capture
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
User Modeling and User-Adapted Interaction
WordNet Ontology Based Model for Web Retrieval
WIRI '05 Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration
Intelligent Techniques for Web Personalization: IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers (Lecture Notes ... / Lecture Notes in Artificial Intelligence)
Adaptive User Profiling for Personalized Information Retrieval
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 02
An Ontology-Based Framework for Knowledge Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
User profiles for personalized information access
The adaptive web
Representing context in web search with ontological user profiles
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Evaluation of a hybrid approach of personalized web information retrieval using the FIRE data set
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
A Hybrid Approach of Personalized Web Information Retrieval
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
The intention behind web queries
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
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Nowadays, everyone can effortlessly access a range of information on the World Wide Web (WWW). As information resources on the web continue to grow tremendously, it becomes progressively more difficult to meet high expectations of users and find relevant information. Although existing search engine technologies can find valuable information, however, they suffer from the problems of information overload and information mismatch. This paper presents a hybrid Web Information Retrieval approach allowing personalised search using ontology, user profile and collaborative filtering. This approach finds the context of user query with least user's involvement, using ontology. Simultaneously, this approach uses time-based automatic user profile updating with user's changing behaviour. Subsequently, this approach uses recommendations from similar users using collaborative filtering technique. The proposed method is evaluated with the FIRE 2010 dataset and manually generated dataset. Empirical analysis reveals that Precision, Recall and F-Score of most of the queries for many users are improved with proposed method.