generation of personalized ontology based on consumer emotion and behavior analysis
Rs2,500.00
10000 in stock
SupportDescription
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.
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