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Using and fixing biased rating schemes

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Robin S. PostonAuthors Info & Claims

Communications of the ACM, Volume 51, Issue 9

Pages 105 - 109

https://doi.org/10.1145/1378727.1389969

Published: 01 September 2008 Publication History

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Cited By

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Skotis AMorfaki CLivas C(2023)Identifying drivers of evaluation bias in online reviews of city destinationsInternational Journal of Information Management Data Insights10.1016/j.jjimei.2023.1001843:2(100184)Online publication date: Nov-2023
https://doi.org/10.1016/j.jjimei.2023.100184
Bacik RFedorko RGavurova BOlearova MRigelsky M(2020)Hotel Marketing Policy: Role of Rating in Consumer Decision MakingMarketing and Management of Innovations10.21272/mmi.2020.2-01(11-25)Online publication date: 2020
https://doi.org/10.21272/mmi.2020.2-01
Wang JShah NElkind EVeloso MAgmon NTaylor M(2019)Your 2 is My 1, Your 3 is My 9Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331778(864-872)Online publication date: 8-May-2019
https://dl.acm.org/doi/10.5555/3306127.3331778
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Index Terms

Using and fixing biased rating schemes
1. Information systems
  1. Information retrieval

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Published In

Communications of the ACM Volume 51, Issue 9

Enterprise information integration: and other tools for merging data

September 2008

124 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1378727

Issue’s Table of Contents

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: 01 September 2008

Published in CACM Volume 51, Issue 9

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Skotis AMorfaki CLivas C(2023)Identifying drivers of evaluation bias in online reviews of city destinationsInternational Journal of Information Management Data Insights10.1016/j.jjimei.2023.1001843:2(100184)Online publication date: Nov-2023
https://doi.org/10.1016/j.jjimei.2023.100184
Bacik RFedorko RGavurova BOlearova MRigelsky M(2020)Hotel Marketing Policy: Role of Rating in Consumer Decision MakingMarketing and Management of Innovations10.21272/mmi.2020.2-01(11-25)Online publication date: 2020
https://doi.org/10.21272/mmi.2020.2-01
Wang JShah NElkind EVeloso MAgmon NTaylor M(2019)Your 2 is My 1, Your 3 is My 9Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3306127.3331778(864-872)Online publication date: 8-May-2019
https://dl.acm.org/doi/10.5555/3306127.3331778
Banerjee SChua A(2016)In search of patterns among travellers' hotel ratings in TripAdvisorTourism Management10.1016/j.tourman.2015.09.02053(125-131)Online publication date: Apr-2016
https://doi.org/10.1016/j.tourman.2015.09.020
Lee CRodrigues EKazai GMilic-Frayling NIgnjatovic A(2009)Model for Voter Scoring and Best Answer Selection in Community Q&A ServicesProceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2009.23(116-123)Online publication date: 15-Sep-2009
https://dl.acm.org/doi/10.1109/WI-IAT.2009.23
Yang YSun YKay SYang Q(2009)Securing rating aggregation systems using statistical detectors and trustIEEE Transactions on Information Forensics and Security10.1109/TIFS.2009.20337414:4(883-898)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.1109/TIFS.2009.2033741

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Improvement of collaborative filtering using rating normalization

Rating: how difficult is it?

New Recommendation Techniques for Multicriteria Rating Systems

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