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Search war: a game for improving web search
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Source International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the ACM SIGKDD Workshop on Human Computation table of contents
Paris, France
SESSION: Human computation in practice table of contents
Pages 31-31  
Year of Publication: 2009
ISBN:978-1-60558-672-4
Authors
Edith Law  Carnegie Mellon University, Pittsburgh, PA
Luis von Ahn  Carnegie Mellon University, Pittsburgh, PA
Tom Mitchell  Carnegie Mellon University, Pittsburgh, PA
Sponsors
Microsoft Research : Microsoft Research
: Carnegie Mellon
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 11,   Citation Count: 0
Additional Information:

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ABSTRACT

We present a competitive online game called Search War, which collects data that is useful for improving Web search. Specifically, as a by product of gameplay, players will provide, for a given web page, an evaluation of its relevance to a particular search query as well as its most salient purpose.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
C. D. Ali Dasdan and S. Kolay. Thumbs-up: A game for playing to rank search results. In WWW, 2009.
 
2
T. Joachims, L. Granka, B. Pan, H. Hembrooke, F. Radlinski, and G. Gay. Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search. ACM Trans. Inf. Syst., 25(2), April 2007.
 
3
T.-Y. Liu, J. Xu, T. Qin, W. Xiong, and H. Li. Letor: Benchmark dataset for research on learning to rank for information retrieval. In SIGIR Workshop for Learning to Rank for Information Retrieval 2007, 2007.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.m Miscellaneous


General Terms:
Design, Experimentation, Human Factors


Keywords:
human computation, query intent, relevance judgments


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