We propose, to the best of our knowledge, the first successful attempt to incorporate searcher examination data into passage retrieval for question answering.
we exploit detailed examination data, such as mouse cursor movements and scrolling, to infer the parts of the document the searcher found interesting, and then incorporate this signal into passage retrieval for QA.