@inproceedings{Joachims2005,
	title = {Accurately interpreting clickthrough data as implicit feedback},
	isbn = {1-59593-034-5},
	url = {http://dl.acm.org/citation.cfm?doid=1076034.1076063%5Cnhttp://dl.acm.org/citation.cfm?id=1076063},
	doi = {10.1145/1076034.1076063},
	abstract = {This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users’ decision process using eyetracking and comparing implicit feedback against manual relevance judgments, we conclude that clicks are informative but biased. While this makes the interpretation of clicks as absolute relevance judgments difficult, we show that relative preferences de- rived from clicks are reasonably accurate on average.},
	booktitle = {Proceedings {SIGIR} 2005},
	author = {Joachims, Thorsten and Granka, Laura and Pan, Bing},
	year = {2005},
	pmid = {2342},
	keywords = {clickthrough, eyetracking, implicit feedback, www search},
	pages = {154--161},
}

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