Authors: Utpala Niranjan; V.V. Krishna; Kanduri Srividya; V. Khanaa
Addresses: Department of Information Technology, Rao & Naidu Engineering College, Ongole, Andhra Pradesh, India ' Chaitanya Institute of Engineering & Technology, Velugubanda, Rajahmundry, Andhra Pradesh, India ' Department of Information Technology, Rao & Naidu Engineering College, Ongole, Andhra Pradesh, India ' Department of Information Technology, Bharath University, Chennai, Tamil Nadu, India
Abstract: Web recommendation systems are used to assist the user to access the most appropriate web pages that can satisfy their needs. This paper provides the web recommendation system which is based on incremental database. The incremental database contains the new navigational sequences from the user and this incremental database can be added with the existing sequence database. We have proposed a novel algorithm, called modified IncSpan, for the effectual mining of the sequential patterns from the incremental database. Finally, the performance of the proposed recommendation system is evaluated with precision, applicability and hit ratio.
Keywords: closed sequential pattern mining; web personalisation; web recommendation; web server log data; IncSpan; sequential database; incremental database; web access patterns; pattern trees; Patricia trie; recommender systems.
International Journal of Knowledge and Web Intelligence, 2011 Vol.2 No.2/3, pp.102 - 118
Published online: 09 Dec 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article