Exploiting query history for document ranking in interactive information retrieval
Xuehua Shen, Cheng Xiang Zhai
Abstract
Xuehua Shen, Cheng Xiang Zhai
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.
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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