An Efficient System Based On Closed Sequential Patterns for Web Recommendations
U. C. Niranjan · 2010
Sequential pattern mining, since its introduction has received considerable attention among the researchers with broad applications. The sequential pattern algorithms generally face problems when mining long sequential patterns or while using very low support threshold. One possible solution of such problems is by mining the closed sequential patterns, which is a condensed representation of sequential patterns. Recently, several researchers have utilized the sequential pattern discovery for designing a web recommendation system, which provides personalized recommendations of web access sequences for users. This paper describes the design of a web recommendation system for providing recommendations to a user‘s web access sequence. The proposed system is mainly based on