Exploring cost-effective approaches to human evaluation of search engine relevance

  • Authors:
  • Kamal Ali;Chi-Chao Chang;Yunfang Juan

  • Affiliations:
  • Yahoo Search, Sunnyvale, CA;Yahoo Search, Sunnyvale, CA;Yahoo Search, Sunnyvale, CA

  • Venue:
  • ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
  • Year:
  • 2005

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Abstract

In this paper, we examine novel and less expensive methods for search engine evaluation that do not rely on document relevance judgments. These methods, described within a proposed framework, are motivated by the increasing focus on search results presentation, by the growing diversity of documents and content sources, and by the need to measure effectiveness relative to other search engines. Correlation analysis of the data obtained from actual tests using a subset of the methods in the framework suggest that these methods measure different aspects of the search engine. In practice, we argue that the selection of the test method is a tradeoff between measurement intent and cost.