Query Performance Prediction for Conversational Search and Beyond
Chuan Meng
Abstract
Query performance prediction (QPP) is a key task in information retrieval (IR) [1]. The QPP task is to estimate the retrieval quality of a search system for a query without human relevance judgments. In summary, I aim to solve 4 limitations identified in previous QPP studies: I have published 3 papers that address 3 of these limitations, while the remaining one is the focus of my future work.
Topics & Concepts
Computer scienceSearch engineInformation retrievalArtificial intelligenceAdvanced Text Analysis TechniquesInformation Retrieval and Search BehaviorTopic Modeling