TY - GEN
T1 - Accurately interpreting clickthrough data as implicit feedback
AU - Joachims, Thorsten
AU - Granka, Laura
AU - Pan, Bing
AU - Hembrooke, Helene
AU - Gay, Geri
PY - 2005
Y1 - 2005
N2 - 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 derived from clicks are reasonably accurate on average.
AB - 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 derived from clicks are reasonably accurate on average.
UR - http://www.scopus.com/inward/record.url?scp=84885665252&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885665252&partnerID=8YFLogxK
U2 - 10.1145/1076034.1076063
DO - 10.1145/1076034.1076063
M3 - Conference contribution
AN - SCOPUS:84885665252
SN - 1595930345
SN - 9781595930347
T3 - SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
SP - 154
EP - 161
BT - SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
T2 - 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005
Y2 - 15 August 2005 through 19 August 2005
ER -