Amazon Technologies, Inc.

Nikolas Clemens Gloy

Christopher Vander Mey

Brian David Marsh

Arijit Ghosh

Techniques are described for managing various types of content in order to identify content having attributes of interest, such as based at least in part on automatically generated assessments of the reputations of authors of the content and/or of evaluators of the content. When content of sufficient interest is identified, it can then be provided to readers in various ways. In some situations, the content being evaluated and managed may include item reviews and/or how-to guides provided to a Web merchant by user authors, and in some situations may include information from blogs. Various types of awards can also be provided to authors and/or evaluators based on one or more of multiple types of reputation scores from their assessed reputations. This abstract is provided to comply with rules requiring it, and is submitted with the intention that it not reflect the limit of the scope of the claims.

Managing content based on reputation

Techniques are described for enhancing the reliability of information received from users in various ways, such as by analyzing votes or other ratings supplied by a user in order to identify fraudulent and other unreliable ratings. Such analysis may be based at least in part on prior ratings submitted by the user, such as based on one or more patterns indicating that the user has a bias for or against one or more of various aspects. Unreliable ratings can then be excluded from use in various ways. This abstract is provided to comply with the rules requiring it, and is submitted with the intention that it not limit the scope of the claims.

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Bellevue, WA, United States of America

Nikolas Clemens Gloy