The loquacious user: a document-independent source of terms for query expansion
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Modeling information-seeker satisfaction in community question answering
ACM Transactions on Knowledge Discovery from Data (TKDD)
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
When web search fails, searchers become askers: understanding the transition
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Community-based Question Answering (CQA) services have become a major venue for people's information seeking on the Web. However, many studies on CQA have focused on the prediction of the best answers for a given question. This paper looks into the formulation of effective questions in the context of CQA. In particular, we looked at effect of contextual factors appended to a basic question on the performance of submitted answers. This study analysed a total of 930 answers returned in response to 266 questions that were formulated by 46 participants. The results show that adding a questionnaire's personal and social attribute to the question helped improve the perceptions of answers both in information seeking questions and opinion seeking questions.