How reliable are the results of large-scale information retrieval experiments?
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Information retrieval on the web
ACM Computing Surveys (CSUR)
The Philosophy of Information Retrieval Evaluation
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
An analysis of the AskMSR question-answering system
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
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
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
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
Investigating behavioral variability in web search
Proceedings of the 16th international conference on World Wide Web
Internet-scale collection of human-reviewed data
Proceedings of the 16th international conference on World Wide Web
Answering Clinical Questions with Knowledge-Based and Statistical Techniques
Computational Linguistics
Studying the use of popular destinations to enhance web search interaction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Deconstructing nuggets: the stability and reliability of complex question answering evaluation
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Intra-assessor consistency in question answering
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
On the evolution of the yahoo! answers QA community
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Models of searching and browsing: languages, studies, and applications
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Is this urgent?: exploring time-sensitive information needs in collaborative question answering
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Using graded-relevance metrics for evaluating community QA answer selection
Proceedings of the fourth ACM international conference on Web search and data mining
Formulating effective questions for community-based question answering
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
I want to answer; who has a question?: Yahoo! answers recommender system
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining slang and urban opinion words and phrases from cQA services: an optimization approach
Proceedings of the fifth ACM international conference on Web search and data mining
Propagation of question waves by means of trust in a social network
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Learning from the past: answering new questions with past answers
Proceedings of the 21st international conference on World Wide Web
Analyzing and predicting question quality in community question answering services
Proceedings of the 21st international conference companion on World Wide Web
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
The structure of argument patterns on a social Q&A site
Journal of the American Society for Information Science and Technology
Survey of social search from the perspectives of the village paradigm and online social networks
Journal of Information Science
Question Waves: A multicast query routing algorithm for social search
Information Sciences: an International Journal
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Question Answering Communities such as Naver, Baidu Knows, and Yahoo! Answers have emerged as popular, and often effective, means of information seeking on the web. By posting questions for other participants to answer, information seekers can obtain specific answers to their questions. Users of CQA portals have already contributed millions of questions, and received hundreds of millions of answers from other participants. However, CQA is not always effective: in some cases, a user may obtain a perfect answer within minutes, and in others it may require hours—and sometimes days—until a satisfactory answer is contributed. We investigate the problem of predicting information seeker satisfaction in collaborative question answering communities, where we attempt to predict whether a question author will be satisfied with the answers submitted by the community participants. We present a general prediction model, and develop a variety of content, structure, and community-focused features for this task. Our experimental results, obtained from a large-scale evaluation over thousands of real questions and user ratings, demonstrate the feasibility of modeling and predicting asker satisfaction. We complement our results with a thorough investigation of the interactions and information seeking patterns in question answering communities that correlate with information seeker satisfaction. We also explore personalized models of asker satisfaction, and show that when sufficient interaction history exists, personalization can significantly improve prediction accuracy over a “one-size-fits-all” model. Our models and predictions could be useful for a variety of applications, such as user intent inference, answer ranking, interface design, and query suggestion and routing.