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You've Got Answers: Towards Personalized Models for Predicting Success in Community Question Answering
 

Summary: You've Got Answers: Towards Personalized Models for Predicting Success
in Community Question Answering
Yandong Liu and Eugene Agichtein
Emory University
{yliu49,eugene}@mathcs.emory.edu
Abstract
Question answering communities such as Ya-
hoo! Answers have emerged as a popular al-
ternative to general-purpose web search. By
directly interacting with other participants, in-
formation seekers can obtain specific answers
to their questions. However, user success in
obtaining satisfactory answers varies greatly.
We hypothesize that satisfaction with the con-
tributed answers is largely determined by the
asker's prior experience, expectations, and
personal preferences. Hence, we begin to de-
velop personalized models of asker satisfac-
tion to predict whether a particular question
author will be satisfied with the answers con-

  

Source: Agichtein, Eugene - Department of Mathematics and Computer Science, Emory University

 

Collections: Computer Technologies and Information Sciences