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» Improving search engines using human computation games
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SIGIR
2009
ACM
13 years 9 months ago
Page hunt: improving search engines using human computation games
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 t...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
CIKM
2009
Springer
13 years 5 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
CG
2010
Springer
13 years 2 months ago
Score Bounded Monte-Carlo Tree Search
Monte-Carlo Tree Search (MCTS) is a successful algorithm used in many state of the art game engines. We propose to improve a MCTS solver when a game has more than two outcomes. It ...
Tristan Cazenave, Abdallah Saffidine
ACMACE
2005
ACM
13 years 6 months ago
AI middleware as means for improving gameplay
Current commercial AI middleware are still far from being a generic and flexible tool for developing computer games. Also the literature lacks proposals in this field. In this w...
Börje Karlsson, Bruno Feijó
KDD
2009
ACM
184views Data Mining» more  KDD 2009»
13 years 11 months ago
Thumbs-Up: a game for playing to rank search results
Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to autom...
Ali Dasdan, Chris Drome, Santanu Kolay, Micah Alpe...