Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
Finding experts in community-based question-answering services
Proceedings of the 14th ACM international conference on Information and knowledge management
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic question recommendation for question answering communities
Proceedings of the 18th international conference on World wide web
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Competition-based user expertise score estimation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Learning to recommend questions based on public interest
Proceedings of the 20th ACM international conference on Information and knowledge management
Question routing in community question answering: putting category in its place
Proceedings of the 20th ACM international conference on Information and knowledge management
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
A classification-based approach to question routing 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
Joint relevance and answer quality learning for question routing in community QA
Proceedings of the 21st ACM international conference on Information and knowledge management
Topic-sensitive probabilistic model for expert finding in question answer communities
Proceedings of the 21st ACM international conference on Information and knowledge management
Proceedings of the 22nd international conference on World Wide Web
Wisdom in the social crowd: an analysis of quora
Proceedings of the 22nd international conference on World Wide Web
Routing questions for collaborative answering in community question answering
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Learning to rank for question routing in community question answering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Community Question Answering (CQA) service provides a platform for increasing number of users to ask and answer for their own needs but unanswered questions still exist within a fixed period. To address this, the paper aims to route questions to the right answerers who have a top rank in accordance of their previous answering performance. In order to rank the answerers, we propose a framework called Question Routing (QR) which consists of four phases: (1) performance profiling, (2) expertise estimation, (3) availability estimation, and (4) answerer ranking. Applying the framework, we conduct experiments with Yahoo! Answers dataset and the results demonstrate that on average each of 1,713 testing questions obtains at least one answer if it is routed to the top 20 ranked answerers.