A Study of a Gain Based Approach for Query Aspects in Recall Oriented Tasks

Evidence-based healthcare integrates the best research evidence with clinical expertise in order to make decisions based on practices available. In this context, task of collecting all relevant information, a recall oriented task, take right decision within reasonable time frame has become an important issue. paper, we investigate problem building effective Consumer Health Search (CHS) systems that use query variations achieve high and fulfill information needs health consumers. particular, study intent-aware gain metric used estimate amount missing prediction about achievable for each reformulation during search session. We evaluate propose alternative formulations using standard test collections CLEF 2018 eHealth Evaluation Lab CHS.