0000000000237764

AUTHOR

Konstantinos Pelechrinis

showing 3 related works from this author

Automatic evaluation of information provider reliability and expertise

2013

Published version of an article in the journal: World Wide Web. Also available from the publisher at: http://dx.doi.org/10.1007/s11280-013-0249-x Q&A social media have gained a lot of attention during the recent years. People rely on these sites to obtain information due to a number of advantages they offer as compared to conventional sources of knowledge (e.g., asynchronous and convenient access). However, for the same question one may find highly contradicting answers, causing an ambiguity with respect to the correct information. This can be attributed to the presence of unreliable and/or non-expert users. These two attributes (reliability and expertise) significantly affect the quality o…

user expertiseDistributed databaseComputer Networks and Communicationsbusiness.industryComputer scienceAggregate (data warehouse)Behavior changeCognitionMachine learningcomputer.software_genrePeer reviewuser reliabilityVDP::Mathematics and natural science: 400::Information and communication science: 420Hardware and ArchitectureOrder (business)Q&A social networksPairwise comparisonArtificial intelligencebusinessSubjective logicSet (psychology)computerSoftwareReliability (statistics)subjective logic
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A Cognitive-based scheme for user reliability and expertise assessment in Q&A social networks

2011

Q&A social media has gained a great deal of attention during recent years. People rely on these sites to obtain information due to the number of advantages they offer as compared to conventional sources of knowledge (e.g., asynchronous and convenient access). However, for the same question one may find highly contradictory answers, causing ambiguity with respect to the correct information. This can be attributed to the presence of unreliable and/or non-expert users. In this work, we propose a novel approach for estimating the reliability and expertise of a user based on human cognitive traits. Every user can individually estimate these values based on local pairwise interactions. We examine…

Scheme (programming language)business.industryComputer sciencemedia_common.quotation_subjectCognitionAmbiguityMachine learningcomputer.software_genreAsynchronous communicationConvergence (routing)Pairwise comparisonSocial mediaArtificial intelligencebusinesscomputerReliability (statistics)computer.programming_languagemedia_common2011 IEEE International Conference on Information Reuse & Integration
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Collaborative Assessment of Information Provider's Reliability and Expertise Using Subjective Logic

2011

QA each user can individually estimate the expertise and the reliability of her peers using her direct interactions with them and our framework. The online SN (OSN), which can be considered as a distributed database, performs continuous data aggregation for users expertise and reliability assessment in order to reach a consensus. We emulate a Q&A SN to examine various performance aspects of our algorithm (e.g., convergence time, responsiveness etc.). Our evaluations indicate that it can accurately assess the reliability and the expertise of a user with a small number of samples and can successfully react to the latter's behavior change, provided that the cognitive traits hold in practice.

Distributed databaseComputer scienceBehavior changeComputerApplications_COMPUTERSINOTHERSYSTEMSCognitioncomputer.software_genreInformation providersOrder (business)Human–computer interactionConvergence (routing)Data miningSubjective logiccomputerReliability (statistics)Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing
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