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Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information about user behavior, it omits user interactions with the search engine that do not hit the server; these logs omit search data such as users' cursor movements. Just as clicks provide signals for relevance in search results, cursor hovering and scrolling can be additional implicit signals. In this work, we demonstrate adoi:10.1145/2348283.2348313 dblp:conf/sigir/HuangWBW12 fatcat:qvzmpnr7irfkfeov2osbxuu6xi