An efficient web recommendation system based on modified IncSpan algorithm. (12th December 2011)

• Record Type: Journal Article
• Authors: Niranjan, Utpala; Krishna, V.V.; Srividya, Kanduri; Khanaa, V.
• Is Part Of: International journal of knowledge and web intelligence. Volume 2:Number 2/3(2011)
• Page Start: 102
• Page End: 118
• Publication Date: 2011-12-12
• Subjects: 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; Information retrieval -- Periodicals; Web site development -- Periodicals; Internet programming -- Periodicals; 004.67805
• Languages: English
• ISSNs: 1755-8255

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.