Model for Voter Scoring and Best Answer Selection in Community Q&A Services

Community Question Answering (cQA) services, such as Yahoo! Answers and MSN QnA, facilitate knowledge sharing through question answering by an online community of users. These services include incentive mechanisms to entice participation and self-regulate the quality of the content contributed by th...

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Vydané v:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 Ročník 1; s. 116 - 123
Hlavní autori: Lee, Chong Tong, Rodrigues, Eduarda Mendes, Kazai, Gabriella, Milic-Frayling, Nataša, Ignjatovic, Aleksandar
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Washington, DC, USA IEEE Computer Society 15.09.2009
IEEE
Edícia:ACM Conferences
Predmet:
Aggregates
Analytical models
Australia
community question answering
Computer science
Computing methodologies > Machine learning > Learning paradigms > Supervised learning > Supervised learning by classification
Computing methodologies > Machine learning > Machine learning algorithms > Feature selection
Computing methodologies > Machine learning > Machine learning approaches > Classification and regression trees
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
Conferences
fixed point theorem
FPS method
Information systems > Information retrieval > Evaluation of retrieval results
Information systems > Information retrieval > Retrieval models and ranking
Information systems > Information retrieval > Retrieval tasks and goals
Information systems > Information retrieval > Users and interactive retrieval > Personalization
Information systems > World Wide Web > Web searching and information discovery > Personalization
Intelligent agent
Mathematical model
Robustness
User-generated content
vote spam
voter score
Voting
weighted voting
weighted voting
community question answering
voter score
vote spam
FPS method
fixed point theorem
ISBN:0769538010, 9780769538013
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Popis
Shrnutí:Community Question Answering (cQA) services, such as Yahoo! Answers and MSN QnA, facilitate knowledge sharing through question answering by an online community of users. These services include incentive mechanisms to entice participation and self-regulate the quality of the content contributed by the users. In order to encourage quality contributions, community members are asked to nominate the ‘best’ among the answers provided to a question. The service then awards extra points to the author who provided the winning answer and to the voters who cast their vote for that answer. The best answers are typically selected by plurality voting, a scheme that is simple, yet vulnerable to random voting and collusion. We propose a weighted voting method that incorporates information about the voters’ behavior. It assigns a score to each voter that captures the level of agreement with other voters. It uses the voter scores to aggregate the votes and determine the best answer. The mathematical formulation leads to the application of the Brouwer Fixed Point Theorem which guarantees the existence of a voter scoring function that satisfies the starting axiom. We demonstrate the robustness of our approach through simulations and analysis of real cQA service data.
ISBN:0769538010
9780769538013
DOI:10.1109/WI-IAT.2009.23