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1
Ranking community answers via analogical reasoning
April 2009
WWW '09: Proceedings of the 18th international conference on World wide web
Publisher: ACM
Full text available: PdfPdf (920.29 KB)
Additional Information:full citation, abstract, references, index terms
Bibliometrics:  Downloads (6 Weeks): 8,   Downloads (12 Months): 64,   Downloads (Overall): 64,    Citation Count: 0

Due to the lexical gap between questions and answers, automatically detecting right answers becomes very challenging for community question-answering sites. In this paper, we propose an analogical reasoning-based method. It treats questions and answers ...


Keywords: analogical reasoning, community question answering
2
Ranking community answers by modeling question-answer relationships via analogical reasoning
July 2009
SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
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Full text available: PdfPdf (964.39 KB)
Additional Information:full citation, abstract, references, index terms
Bibliometrics:  Downloads (6 Weeks): 58,   Downloads (12 Months): 180,   Downloads (Overall): 180,    Citation Count: 0

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, ...


Keywords: analogical reasoning, community question answering, probabilistic relational modeling, ranking
3
Finding high-quality content in social media
February 2008
WSDM '08: Proceedings of the international conference on Web search and web data mining
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Full text available: PdfPdf (582.47 KB)
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Bibliometrics:  Downloads (6 Weeks): 149,   Downloads (12 Months): 737,   Downloads (Overall): 1222,    Citation Count: 28

The quality of user-generated content varies drastically from excellent to abuse and spam. As the availability of such content increases, the task of identifying high-quality content sites based on user contributions --social media sites -- becomes increasingly ...


Keywords: community question answering, media, user interactions
4
Modeling information-seeker satisfaction in community question answering
April 2009
Transactions on Knowledge Discovery from Data (TKDD) , Volume 3 Issue 2
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Full text available: PdfPdf (2.92 MB)
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Bibliometrics:  Downloads (6 Weeks): 61,   Downloads (12 Months): 285,   Downloads (Overall): 285,    Citation Count: 1

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 ...


Keywords: Community question answering, information seeker satisfaction
5
Model for Voter Scoring and Best Answer Selection in Community Q&A Services
Chong Tong Lee, Eduarda Mendes Rodrigues, Gabriella Kazai, Nataša Milic-Frayling, Aleksandar Ignjatovic
September 2009
WI-IAT '09: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 , Volume 01
Publisher: IEEE Computer Society
Full text available: PdfPdf (679.21 KB)
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Bibliometrics:  Downloads (6 Weeks): 2,   Downloads (12 Months): 2,   Downloads (Overall): 2,    Citation Count: 0

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 ...


Keywords: community question answering, weighted voting, FPS method, voter score, vote spam, fixed point theorem
6
Is this urgent?: exploring time-sensitive information needs in collaborative question answering
July 2009
SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Full text available: PdfPdf (368.39 KB)
Additional Information:full citation, abstract, references, index terms
Bibliometrics:  Downloads (6 Weeks): 31,   Downloads (12 Months): 87,   Downloads (Overall): 87,    Citation Count: 0

As online Collaborative Question Answering (CQA) servicessuch as Yahoo! Answers and Baidu Knows are attracting users, questions, and answers at an explosive rate, the truly urgent and important questions are increasingly getting lost in the crowd. That ...


Keywords: community question answering, social media
7
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
April 2009
WWW '09: Proceedings of the 18th international conference on World wide web
Publisher: ACM
Full text available: PdfPdf (824.69 KB)
Additional Information:full citation, abstract, references, index terms
Bibliometrics:  Downloads (6 Weeks): 43,   Downloads (12 Months): 227,   Downloads (Overall): 227,    Citation Count: 0

Community Question Answering (CQA) has emerged as a popular forum for users to pose questions for other users to answer. Over the last few years, CQA portals such as Naver and Yahoo! Answers have exploded in popularity, and now provide a viable alternative ...


Keywords: authority and expertise in online communities, community question answering
8
Predicting information seeker satisfaction in community question answering
July 2008
SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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Full text available: PdfPdf (221.53 KB)
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Bibliometrics:  Downloads (6 Weeks): 23,   Downloads (12 Months): 274,   Downloads (Overall): 405,    Citation Count: 5

Question answering communities such as Naver 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 ...


Keywords: community question answering, information seeker satisfaction
9
Human or Automatic Answers? A User's Based Study
October 2008
LA-WEB '08: Proceedings of the 2008 Latin American Web Conference
Publisher: IEEE Computer Society
Full text available: Publisher SitePublisher Site
Additional Information:full citation, abstract
Bibliometrics:  Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Downloads (Overall): n/a,    Citation Count: 0

Understanding the different ways of the information seeking behavior of users, and their implications is an important challenge of Web Information Services. In this paper we examine the suitability of Web Search Engines (SE)and Community Question-Answering ...


Keywords: User Intent, Web Search Engines, Community Question-Answering
10
A few bad votes too many?: towards robust ranking in social media
April 2008
AIRWeb '08: Proceedings of the 4th international workshop on Adversarial information retrieval on the web
Publisher: ACM
Full text available: PdfPdf (544.83 KB)
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Bibliometrics:  Downloads (6 Weeks): 21,   Downloads (12 Months): 145,   Downloads (Overall): 149,    Citation Count: 2

Online social media draws heavily on active reader participation, such as voting or rating of news stories, articles, or responses to a question. This user feedback is invaluable for ranking, filtering, and retrieving high quality content - tasks that ...


Keywords: community question answering, ranking, robustness, social media, vote spam