Description

Human emotions are a major motivational factor of human behaviors.The relationships between consumer emotions and their buying behaviors also seem well documented.Technology-savvy consumers often use the web to find information on products and services before they commit to buying.Propose a semantic web usage mining approach for discovering periodic web access patterns from annotated web usage logs which incorporates information on consumer emotions and behaviors through self-reporting and behavioral tracking.Fuzzy logic to represent real-life temporal concepts (e.g., morning) and requested resource attributes (ontological domain concepts for the requested URLs) of periodic patternbased web access activities.