Long Le, a long time and much loved member of the InfoSeeking Lab, has successfully defended his dissertation, “Extracting Users in Community Question-Answering in Particular Contexts.” Congratulations, Long!
Long’s work holds particular import for Community Question-Answering (CQA) sites and their users. He was interested in studying the behavior of the users who participate in CQA. Specifically, he strove to understand how different types of users could be identified based on their behaviors concerning a CQA-specific problem. Rather than discuss users and their actions in a general context, Long extracted contextual situations to develop a more granular analysis of user behavior. Users are the main driving force in CQA and understanding them allows us to know the current state of their respective sites.
Obtaining a doctorate is no easy feat, and we’re all incredibly proud of Long and everything he has accomplished. Look out for him in the future–he’ll certainly move forward into big and bright places. Of course, he and his family will also be terribly missed by everyone in the InfoSeeking Lab, but we’re thrilled to count him among our distinguished alumni.