Utilizing Crowdsourced Databases for Social Media Question Asking
نویسندگان
چکیده
This paper discusses an interview-based study conducted to explore why people like particular pages on Facebook. We analyze how the different relationships that people have with their Facebook likes could affect the design of intelligent interactive systems. Specifically, we examine how the likes of a user’s friends can be used to gather information from external crowd-sourced knowledge bases in order to identify relevant candidates for user-posed questions. Finally, we consider how different forms of interaction affect the visual representation of Q&A systems.
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