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Table from Semantic Relations in Yahoo! News Search - Semantic Scholar

Semantic Relations in Yahoo! News search query logs are analyzed to find semantic relations among queries.

The analysis is based on two independent contributions. The first use session data extracted from the query logs.

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By finding the term best describing each session, we get a vocabulary of queries related to that term. Sessions with similar terms are merged to create larger groups of queries with one common term or phrase.

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Create Alert. Share This Paper. Figures, Tables, and Topics from this paper.

Figures and Tables. Explore Further: References Publications referenced by this paper.

Genuine online jobs in Tumba yahoo answers

Semantic similarity between search engine queries using temporal correlation Steve ChienNicole Immorlica. Web Mining: Berthier Ribeiro-Neto: Modern Information Retrieval Ricardo A.

A survey of temporal data. Srivatsan Laxman.

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Detecting User Sessions in the Tumba! BaseDec. Jensen and Frieder.

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Related Papers. Table 7. The 10 selected queries for the evaluation.

Published in Semantic Relations in Yahoo! By clicking accept or continuing to use the site, Tumga agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License.