Interactive query expansion: a user-based evaluation in a relevance feedback environment
Journal of the American Society for Information Science
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
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In a Relevance Feedback process, the query can be reformulated basing on a matrix product of the RSV (Retrieval Status Value) vector and the documents-terms matrix. In such case, the challenge is to determine the most appropriate query that fulfils the retrieval process. In this paper, we present an automatic query reformulation approach based on a dual form of this product matrix which systematically generate as solution the reformulated query. This approach was spread to assure a learning strategy in order to rank the results of an information retrieval system. Some experiments have been undertaken into a dataset provided by TREC and the results show the effectiveness of our approach.