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- research-articleJanuary 2019
CQASUMM: Building References for Community Question Answering Summarization Corpora
CODS-COMAD '19: Proceedings of the ACM India Joint International Conference on Data Science and Management of DataPages 18–26https://doi.org/10.1145/3297001.3297004Answers submitted to CQA forums are often elaborate, contain spam, are marred by slurs and business promotions. It is difficult for a reader to go through numerous such answers to gauge community opinion. As a result summarization becomes a prioritized ...
- research-articleFebruary 2016
Learning semantic representation with neural networks for community question answering retrieval
Knowledge-Based Systems (KNBS), Volume 93, Issue CPages 75–83https://doi.org/10.1016/j.knosys.2015.11.002Learning the semantic representation using neural network architecture.The neural network is trained via pre-training and fine-tuning phase.The learned semantic level feature is incorporated into a LTR framework. In community question answering (cQA), ...
- research-articleNovember 2015
The quality and helpfulness of answers to eating disorder questions in Yahoo! Answers: teens speak out
ASIST '15: Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the CommunityArticle No.: 42, Pages 1–10This research project investigated teens' perspectives on the quality and helpfulness of health information about eating disorders found on Yahoo! Answers, a Social Q&A site. A mixed methods approach was applied, using survey methods and semi-structured ...
- research-articleJune 2015
Knowledge Sharing in the Online Social Network of Yahoo! Answers and Its Implications
IEEE Transactions on Computers (ITCO), Volume 64, Issue 6Pages 1715–1728https://doi.org/10.1109/TC.2014.2322598Question and Answer (Q&A) websites such as Yahoo! Answers provide a platform where users can post questions and receive answers. These systems take advantage of the collective intelligence of users to find information. In this paper, we analyze the ...
- research-articleMarch 2014
Analysis of Search and Browsing Behavior of Young Users on the Web
ACM Transactions on the Web (TWEB), Volume 8, Issue 2Article No.: 7, Pages 1–54https://doi.org/10.1145/2555595The Internet is increasingly used by young children for all kinds of purposes. Nonetheless, there are not many resources especially designed for children on the Internet and most of the content online is designed for grown-up users. This situation is ...
- research-articleNovember 2013
Social Q&A vs. library virtual reference: user choices and comparisons
ASIST '13: Proceedings of the 76th ASIS&T Annual Meeting: Beyond the Cloud: Rethinking Information BoundariesArticle No.: 159, Pages 1–4In recent years, there has been an increased use of Social Q&A (SQA). At the same time, there has been a reported decline of library virtual reference (VR). Most current research touches on the phenomenon from the perspective of libraries or library ...
- ArticleJanuary 2012
Knowledge and Social Networks in Yahoo! Answers
HICSS '12: Proceedings of the 2012 45th Hawaii International Conference on System SciencesPages 781–789https://doi.org/10.1109/HICSS.2012.398This study defines and explores relations between knowledge-seeking and social relationship networks, using data from a popular Q&A social network site. Our theoretical framework draws on Motivation, Common-goods, and Social capital theories to generate ...
- ArticleApril 2011
Quadripartite Graph-based Clustering of Questions
ITNG '11: Proceedings of the 2011 Eighth International Conference on Information Technology: New GenerationsPages 591–596https://doi.org/10.1109/ITNG.2011.108In a Community Question Answering (CQA) service, each user interaction is different and since there are a variety of complex questions, identifying similar questions for reusing answers is difficult. This is mainly because of lexical mismatch problem. ...
- ArticleAugust 2010
Automatically Grouping Questions in Yahoo! Answers
WI-IAT '10: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01Pages 350–357https://doi.org/10.1109/WI-IAT.2010.157In this paper, we define and study a novel problem which is referred to as Community Question Grouping (CQG). Online QA services such as Yahoo! Answers contain large archives of community questions which are posted by users. Community Question Grouping ...