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：2013
卷号：4
期号：3
页码：584-587
语种：English
出版社：Ayushmaan Technologies
摘要：Analyzing consumers buying behavior with their emotion is a recent challenging area of research. Every consumer wants survey about the product before they buy. We propose a semantic web usage mining approach for discovering periodic web access patterns from different web usage logs which provides information on consumer emotions and behaviors through self-reporting and behavioral tracking. We use fuzzy logic to represent real-life temporal concepts and ontological domain concepts for the requested URLs of periodic pattern based web access activities. These pattern are treated as the personal behavioral and emotional data which can be studied further. Finally, with rigorous experiment we found the effectiveness of the method and proved that emotional influence has been found to contribute positively to adaptation in personalized recommendation.
关键词：Emotion and Behavior Profiling;Behavioral Tracking;Weblog Mining;Knowledge Discovery;Ontology Generation;Semantic Web.
