There are two papers from UCAIR project published in SIGIR 2005 . The title of one paper is Active Feedback in Ad-hoc Information Retrieval by Xuehua Shen and ChengXiang Zhai. This work studies how to do document selection for user relevance judgment if the user is willing to judge relevance of some documents, while the traditional relevance feedback is focused on how to do query term expansion and query term reweighting given user judged feedback documents. We propose a preliminary framework and several active feedback methods in this paper; the title of the other paper is Context-Sensitive Information Retrieval Using Implicit Feedback by Xuehua Shen, Bin Tan and ChengXiang Zhai. This work studies how to model user interaction history (implicit feedback) to improve retrieval accuracy. We propose four statistical contextual language models to incorporate context information.
