The Zephyr Help Instance: promoting ongoing activity in a CSCW system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic essay grading using text categorization techniques
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Interaction and outeraction: instant messaging in action
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
"Ask before you search": peer support and community building with reachout
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Using social psychology to motivate contributions to online communities
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Responsiveness in instant messaging: predictive models supporting inter-personal communication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Synchronous broadcast messaging: the use of ICT
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning user interaction models for predicting web search result preferences
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A framework to predict the quality of answers with non-textual features
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Methods for automatically evaluating answers to complex questions
Information Retrieval
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
mimir: a market-based real-time question and answer service
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Beyond DCG: user behavior as a predictor of a successful search
Proceedings of the third ACM international conference on Web search and data mining
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Evaluating and predicting answer quality in community QA
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Predicting query performance using query, result, and user interaction features
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Effects of community size and contact rate in synchronous social q&a
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
'Natural' search user interfaces
Communications of the ACM
A classification-based approach to question routing in community question answering
Proceedings of the 21st international conference companion on World Wide Web
Socio-semantic conversational information access
Proceedings of the 21st international conference companion on World Wide Web
Understanding mobile Q&A usage: an exploratory study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Foundations and Trends in Information Retrieval
Collective intelligence in the online social network of yahoo!answers and its implications
Proceedings of the 21st ACM international conference on Information and knowledge management
Analyzing the quality of information solicited from targeted strangers on social media
Proceedings of the 2013 conference on Computer supported cooperative work
To answer or not: what non-qa social activities can tell
Proceedings of the 2013 conference on Computer supported cooperative work
Clarifications and question specificity in synchronous social Q&A
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Who have got answers?: growing the pool of answerers in a smart enterprise social QA system
Proceedings of the 19th international conference on Intelligent User Interfaces
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Synchronous social Q&A systems exist on the Web and in the enterprise to connect people with questions to people with answers in real-time. In such systems, askers' desire for quick answers is in tension with costs associated with interrupting numerous candidate answerers per question. Supporting users of synchronous social Q&A systems at various points in the question lifecycle (from conception to answer) helps askers make informed decisions about the likelihood of question success and helps answerers face fewer interruptions. For example, predicting that a question will not be well answered may lead the asker to rephrase or retract the question. Similarly, predicting that an answer is not forthcoming during the dialog can prompt system behaviors such as finding other answerers to join the conversation. As another example, predictions of asker satisfaction can be assigned to completed conversations and used for later retrieval. In this paper, we use data from an instant-messaging-based synchronous social Q&A service deployed to an online community of over two thousand users to study the prediction of: (i) whether a question will be answered, (ii) the number of candidate answerers that the question will be sent to, and (iii) whether the asker will be satisfied by the answer received. Predictions are made at many points of the question lifecycle (e.g., when the question is entered, when the answerer is located, halfway through the asker-answerer dialog, etc.). The findings from our study show that we can learn capable models for these tasks using a broad range of features derived from user profiles, system interactions, question setting, and the dialog between asker and answerer. Our research can lead to more sophisticated and more useful real-time Q&A support.