期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：4Ver 2
出版社：Ayushmaan Technologies
摘要：In this paper we propose a unique approach to integrate Meta search engine to build web personalization. Our approach makes the web personalization more information rich to the user and meets a high level of user satisfaction. The proposed work will be implemented by processing link mining on past web usage log data in a periodic approach manner. The search process and search result together combined to build an effective personalization page. Periodic approach simplifies the data classification, processing and building personalization by accessing the required resources periodically. Periodic web personalization aims to recommend the most relevant resources to a user during a specific time period by analyzing the periodic access patterns of the user from web usage logs. This approach enables the costly personalized resources preparation process to be done in advance rather than in real time. Our approach evaluates the performance of the periodic web personalization and Meta search engine for web personalization approach by measuring the applicability and satisfaction
关键词：Meta Search Engine; Personalization; World Wide Web;Information Retrieval.s
