document: Beyond dwell time : estimating document relevance from cursor movements and other post-click searcher behavior Result clickthrough statistics and dwell time on clicked results have been shown valuable for inferring search result relevance , but the interpretation of these signals can vary substantially for different tasks and users . This paper shows that that post-click searcher behavior , such as cursor movement and scrolling , provides additional clues for better estimating document relevance . To this end , we identify patterns of examination and interaction behavior that correspond to viewing a relevant or non-relevant document , and design a new Post-Click Behavior ( PCB ) model to capture these patterns . To our knowledge , PCB is the first to successfully incorporate post-click searcher interactions such as cursor movements and scrolling on a landing page for estimating document relevance . We evaluate PCB on a dataset collected from a controlled user study that contains interactions gathered from hundreds of unique queries , result clicks , and page examinations . The experimental results show that PCB is significantly more effective than using page dwell time information alone , both for estimating the explicit judgments of each user , and for re-ranking the results using the estimated relevance .
doc_bio_tags: O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O