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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