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Measuring web quality

Published:13 May 2013Publication History

ABSTRACT

Measuring the quality of web content, either at page level or website level, is at the heart of several key challenges in the Web. Without doubt, the main one is web search, to be able to rank results. However, there are other important problems such as web reputation or trust, and web spam detection and filtering. However, measuring intrinsic web quality is a hard problem, because of our limited (automatic) understanding of text semantics, which is even worse for other media. Hence, similarly to human trust assessing, where we use past actions, face expressions, body language, etc; in the Web we need to use indirect signals that serve as surrogates for web quality. In this keynote we attempt to present the most important signals as well as new signals that are or can be used to measure quality in the Web. We divide them using the traditional web content, structure, and usage trilogy. We also characterize them according to how easy is to measure these signals, who can measure them, and how well they scale to the whole Web.

References

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    • Published in

      cover image ACM Other conferences
      WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
      May 2013
      1636 pages
      ISBN:9781450320382
      DOI:10.1145/2487788

      Copyright © 2013 Copyright is held by the owner/author(s)

      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 May 2013

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      Acceptance Rates

      WWW '13 Companion Paper Acceptance Rate831of1,250submissions,66%Overall Acceptance Rate1,899of8,196submissions,23%
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