2003Unpublished venueRequires access

Exploiting query history for document ranking in interactive information retrieval

Xuehua Shen, Cheng Xiang Zhai

Open publisher page 54 citations

Abstract

In this poster,we incorporate user query history, as context information, to improve the retrieval performance in interactive retrieval. Experiments using the TREC data show that incorporating such context information indeed consistently improves the retrieval performance in both average precision and precision at 20 documents.

About this research paper

What this paper is about

In this poster,we incorporate user query history, as context information, to improve the retrieval performance in interactive retrieval. Experiments using the TREC data show that incorporating such context information indeed consistently improves the retrieval performance in both average precision and precision at 20 documents.

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OpenAlex reports 54 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Available abstract

In this poster,we incorporate user query history, as context information, to improve the retrieval performance in interactive retrieval. Experiments using the TREC data show that incorporating such context information indeed consistently improves the retrieval performance in both average precision and precision at 20 documents.

Key concepts: Computer science, Information retrieval, Ranking (information retrieval), Query expansion, Context (archaeology), Document retrieval, Human–computer information retrieval, Adversarial information retrieval

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