Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Bayesian parameter estimation via variational methods
Statistics and Computing
Learning probabilistic models of link structure
The Journal of Machine Learning Research
Question answering from the web using knowledge annotation and knowledge mining techniques
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Is it the right answer?: exploiting web redundancy for Answer Validation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
In question answering, two heads are better than one
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Retrieving answers from frequently asked questions pages on the web
Proceedings of the 14th ACM international conference on Information and knowledge management
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
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
Expertise networks in online communities: structure and algorithms
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
A probabilistic graphical model for joint answer ranking in question answering
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Structured retrieval for question answering
SIGIR '07 Proceedings of the 30th 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
A predictive framework for retrieving the best answer
Proceedings of the 2008 ACM symposium on Applied computing
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
Retrieval models for question and answer archives
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A few bad votes too many?: towards robust ranking in social media
AIRWeb '08 Proceedings of the 4th international workshop on Adversarial information retrieval on the web
Metadata-aware measures for answer summarization in community Question Answering
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Identifying new categories in community question answering archives: a topic modeling approach
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
A novel composite kernel for finding similar questions in CQA services
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Using graded-relevance metrics for evaluating community QA answer selection
Proceedings of the fourth ACM international conference on Web search and data mining
A community question-answering refinement system
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Predicting web searcher satisfaction with existing community-based answers
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A new answer analysis approach for Chinese yes-no question
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Mining wikipedia and yahoo! answers for question expansion in opinion QA
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Exploiting user profile information for answer ranking in cQA
Proceedings of the 21st international conference companion 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
Understanding user intent in community question answering
Proceedings of the 21st international conference companion on World Wide Web
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Vote calibration in community question-answering systems
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Towards faster and better retrieval models for question search
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Information Sciences: an International Journal
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The method of finding high-quality answers has significant impact on user satisfaction in community question answering systems. However, due to the lexical gap between questions and answers as well as spam typically existing in user-generated content, filtering and ranking answers is very challenging. Previous solutions mainly focus on generating redundant features, or finding textual clues using machine learning techniques; none of them ever consider questions and their answers as relational data but instead model them as independent information. Moreover, they only consider the answers of the current question, and ignore any previous knowledge that would be helpful to bridge the lexical and semantic gap. We assume that answers are connected to their questions with various types of latent links, i.e. positive indicating high-quality answers, negative links indicating incorrect answers or user-generated spam, and propose an analogical reasoning-based approach which measures the analogy between the new question-answer linkages and those of relevant knowledge which contains only positive links; the candidate answer which has the most analogous link is assumed to be the best answer. We conducted experiments based on 29.8 million Yahoo!Answer question-answer threads and showed the effectiveness of our approach.