Personalised search – a hybrid approach for web information retrieval and its evaluation
Mittal, Namita , Nayak, Richi, Goval, Mahesh Chandra , & Jain, Kamal Chand (2011) Personalised search – a hybrid approach for web information retrieval and its evaluation. International Journal of Knowledge and Web Intelligence (IJKWI), 2(2/3), pp. 119-137.
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.
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|Item Type:||Journal Article|
|Keywords:||Data Mining, Web Intelligence, user profile, personalisation|
|ISSN:||1755-8263 (online) 1755-8255 (print)|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)|
|Divisions:||Past > Schools > Computer Science|
Past > QUT Faculties & Divisions > Faculty of Science and Technology
|Copyright Owner:||Copyright 2011 Inderscience Enterprises Limited.|
|Deposited On:||31 Jan 2012 08:46|
|Last Modified:||31 Jan 2012 08:46|
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