TY - CONF TI - Accurately Interpreting Clickthrough Data As Implicit Feedback AU - Joachims, Thorsten AU - Granka, Laura AU - Pan, Bing AU - Hembrooke, Helene AU - Gay, Geri T2 - SIGIR'05 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. C3 - Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, 2005 DA - 2005/// PY - 2005 DP - ACM Digital Library SP - 154 EP - 161 LA - en Y2 - 2019/01/18/20:45:44 ER -