Publication Type:

Conference Paper

Source:

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2017)

URL:

https://ieeexplore.ieee.org/document/8126067

Keywords:

Adaptation models, Adaptive data structures, Adaptive systems, adaptive web personalization system, creating customized experiences, Data mining, Data structures, Navigation, Navigational pattern, Performance evaluation, Recommendation system, Recommender systems, search problems, self-adaptive data structure, Splay tree, Timing, Trees (mathematics), user interests, user preferences changes, Web pages, Web Personalization, Web services

Abstract:

Web personalization helps in understanding the user interests and creating customized experiences for users. However the user preferences changes dynamically over a period. In order to adapt with the changing information needs of the user, we have developed a novel web personalization system that captures the user changing interest by analyzing the timing information. We use splay tree, which is a self-adaptive data structure, for tracking the changing trends of the users. The proposed web personalization model is validated by building a simulation model, with real and synthetic dataset, and the quality of results are promising.

Cite this Research Publication

P. Das, Jisha R. C., and Dr. Sajeev G. P., “Adaptive web personalization system using splay tree”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.