Interactive Retrieval Based on Wikipedia Concepts
This addresses the challenge of enhancing retrieval accuracy for users in interactive search systems, though it appears incremental as it builds on existing interactive retrieval methods.
The paper tackles the problem of improving interactive retrieval by introducing a user feedback mechanism based on Wikipedia concepts, where users select relevant concepts to refine queries, and it shows dramatic performance improvements on three TREC datasets.
This paper presents a new user feedback mechanism based on Wikipedia concepts for interactive retrieval. In this mechanism, the system presents to the user a group of Wikipedia concepts, and the user can choose those relevant to refine his/her query. To realize this mechanism, we propose methods to address two problems: 1) how to select a small number of possibly relevant Wikipedia concepts to show the user, and 2) how to re-rank retrieved documents given the user-identified Wikipedia concepts. Our methods are evaluated on three TREC data sets. The experiment results show that our methods can dramatically improve retrieval performances.