Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning and reasoning about interruption
Proceedings of the 5th international conference on Multimodal interfaces
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
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
Context-aware recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Tapping on the potential of q&a community by recommending answer providers
Proceedings of the 17th ACM conference on Information and knowledge management
mimir: a market-based real-time question and answer service
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Questions in, knowledge in?: a study of naver's question answering community
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Probabilistic question recommendation for question answering communities
Proceedings of the 18th international conference on World wide web
Modeling answerer behavior in collaborative question answering systems
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Survey of social search from the perspectives of the village paradigm and online social networks
Journal of Information Science
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Collaborative Question Answering (CQA) sites such as Yahoo! Answers and recent real-time CQA sites such as Aardvark, provide a promising approach for information seeking. Yet, the behavior of the answerers, especially the factors influencing the quality and timeliness of the answers, are not well understood. We hypothesize that the information context of the answerer at the time a question is received is an important factor in the effectiveness of CQA systems. As a first step in exploring this hypothesis, our study shows that the relevant web browsing context can have significant positive effects on the answerers' reported ability, effort, and willingness to answer questions.