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Adaptive web personalization system using splay tree

Publication Type : Conference Paper

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics

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

Campus : Amritapuri

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2017

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

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