Bridging the lexical chasm: statistical approaches to answer-finding
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Finding semantically similar questions based on their answers
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Finding experts in community-based question-answering services
Proceedings of the 14th ACM international conference on Information and knowledge management
LDA-based document models for ad-hoc retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Recommending questions using the mdl-based tree cut model
Proceedings of the 17th international conference on World Wide Web
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Identifying authoritative actors in question-answering forums: the case of Yahoo! answers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Tapping on the potential of q&a community by recommending answer providers
Proceedings of the 17th ACM conference on Information and knowledge management
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
Routing Questions to the Right Users in Online Communities
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Modeling answerer behavior in collaborative question answering systems
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Question routing in community question answering: putting category in its place
Proceedings of the 20th ACM international conference on Information and knowledge management
Exploiting user profile information for answer ranking in cQA
Proceedings of the 21st international conference companion on World Wide Web
Finding expert users in community question answering
Proceedings of the 21st international conference companion on World Wide Web
A new approach to answerer recommendation in community question answering services
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Semi-automatically extracting FAQs to improve accessibility of software development knowledge
Proceedings of the 34th International Conference on Software Engineering
Joint relevance and answer quality learning for question routing in community QA
Proceedings of the 21st ACM international conference on Information and knowledge management
Predicting Best Responder in Community Question Answering Using Topic Model Method
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Proceedings of the 22nd international conference on World Wide Web
Learning to rank for question routing in community question answering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Survey of social search from the perspectives of the village paradigm and online social networks
Journal of Information Science
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Community question answering (CQA) has become a very popular web service to provide a platform for people to share knowledge. In current CQA services, askers post their questions to the system and wait for answerers to answer them passively. This procedure leads to several drawbacks. Since new questions are presented to all users in the system, the askers can not expect some experts to answer their questions. Meanwhile, answerers have to visit many questions and then pick out only a small part of them to answer. To overcome those drawbacks, a probabilistic framework is proposed to predict best answerers for new questions. By tracking answerers' answering history, interests of answerers are modeled with the mixture of the Language Model and the Latent Dirichlet Allocation model. User activity and authority information is also taken into consideration. Experimental results show the proposed method can effectively push new questions to the best answerers.