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WWW 2007 / Track: Semantic Obsession: Similarity and ExtractionMeasuring Semantic Similarity between Words Using Web
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Anushka BollegalaYutaka MatsuoMitsuru IshizukaThe University of
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Who needs session similarity and extraction?
01
Researchers: Session similarity and extraction can be valuable for researchers who are studying patterns or trends in human behavior or preferences. By analyzing multiple sessions, they can identify similarities and extract meaningful insights.
02
Data analysts: Data analysts can use session similarity and extraction to identify patterns in user behavior or preferences across multiple sessions. This information can then be used to improve product design, customer experience, or marketing strategies.
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Customer support teams: Customer support teams may utilize session similarity and extraction to identify common issues or problems faced by customers. By identifying similarities across sessions, they can develop more efficient solutions and improve customer satisfaction.
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UX/UI designers: UX/UI designers can utilize session similarity and extraction to understand user interactions and preferences in order to improve the design of digital products or platforms. By analyzing multiple sessions, they can identify areas for improvement and enhance the user experience.
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