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Chris Quirk

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Publications by Chris Quirk (bibliography)

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2009
 
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Ma, Hao, Chandrasekar, Raman, Quirk, Chris and Gupta, Abhishek (2009): Page Hunt: improving search engines using human computation games. In: Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2009. pp. 746-747.

There has been a lot of work on evaluating and improving the relevance of web search engines. In this paper, we suggest using human computation games to elicit data from players that can be used to improve search. We describe Page Hunt, a single-player game. The data elicited using Page Hunt has several applications including providing metadata for pages, providing query alterations for use in query refinement, and identifying ranking issues. We describe an experiment with over 340 game players, and highlight some interesting aspects of the data obtained.

© All rights reserved Ma et al. and/or their publisher

 
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User Experience and Experience Design !

 
 

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Gamification at Work: Designing Engaging Business Software
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start reading