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Discovering authorities in question answer communities by using link analysis

Published: 06 November 2007 Publication History
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  • Abstract

    Question-Answer portals such as Naver and Yahoo! Answers are quickly becoming rich sources of knowledge on many topics which are not well served by general web search engines. Unfortunately, the quality of the submitted answers is uneven, ranging from excellent detailed answers to snappy and insulting remarks or even advertisements for commercial content. Furthermore, user feedback for many topics is sparse, and can be insufficient to reliably identify good answers from the bad ones. Hence, estimating the authority of users is a crucial task for this emerging domain, with potential applications to answer ranking, spam detection, and incentive mechanism design. We present an analysis of the link structure of a general-purpose question answering community to discover authoritative users, and promising experimental results over a dataset of more than 3 million answers from a popular community QA site. We also describe structural differences between question topics that correlate with the success of link analysis for authority discovery.

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      cover image ACM Conferences
      CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
      November 2007
      1048 pages
      ISBN:9781595938039
      DOI:10.1145/1321440
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 06 November 2007

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      Author Tags

      1. link analysis
      2. question-answer portals

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      • (2024)MATERExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.121576237:PBOnline publication date: 1-Feb-2024
      • (2023)Online Information Filtering: The Role of Contextual Cues in Electronic Networks of PracticeACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3631341.363134754:4(77-106)Online publication date: 30-Oct-2023
      • (2023)Automatic Quality Evaluation for User Generated Contents in Online Q&A Community Based on Word2Vec-CNN2023 International Conference on Neuromorphic Computing (ICNC)10.1109/ICNC59488.2023.10462736(360-366)Online publication date: 15-Dec-2023
      • (2023)Validity of Measurable Expertise on Publication Recognition2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)10.1109/EECSI59885.2023.10295653(606-612)Online publication date: 20-Sep-2023
      • (2023)CredibleExpertRank: Leveraging Social Network Analysis and Opinion Mining to Facilitate Reliable Information Retrieval on Knowledge-Sharing SitesIEEE Access10.1109/ACCESS.2023.328141211(54724-54749)Online publication date: 2023
      • (2023)A graph model with integrated pattern and query-based technique for extracting answer to questions in community question answering systemSocial Network Analysis and Mining10.1007/s13278-023-01046-313:1Online publication date: 5-Mar-2023
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