Flexible pseudo-relevance feedback using optimization tables

Tetsuya Sakai, Stephen E. Robertson

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Flexible pseudo-relevance feedback (FPRF) for improving average performance of optimization tables was discussed. TREC6-8 and NTCIR-2e test collections were used to treat the problems of varying top R documents and T new terms separately. TREC Task 2 and NTCIR Task 2 results suggest that optimization tables are effective as FPRF through direct mapping and categorization.

Original languageEnglish
Pages (from-to)396-397
Number of pages2
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Publication statusPublished - 2001
Externally publishedYes

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ASJC Scopus subject areas

  • Hardware and Architecture
  • Management Information Systems

Cite this

Flexible pseudo-relevance feedback using optimization tables. / Sakai, Tetsuya; Robertson, Stephen E.

In: SIGIR Forum (ACM Special Interest Group on Information Retrieval), 2001, p. 396-397.

Research output: Contribution to journalArticle

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