2009Unpublished venueRequires access

What queries are likely to recur in web search?

Dell Zhang, Jinsong Lu

Open publisher page 2 citations

Abstract

We study the recurrence dynamics of queries in Web search by analysing a large real-world query log dataset. We find that query frequency is more useful in predicting collective query recurrence whereas query recency is more useful in predicting individual query recurrence. Our findings provide valuable insights for understanding and improving Web search.

About this research paper

What this paper is about

We study the recurrence dynamics of queries in Web search by analysing a large real-world query log dataset. We find that query frequency is more useful in predicting collective query recurrence whereas query recency is more useful in predicting individual query recurrence. Our findings provide valuable insights for understanding and improving Web search.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We study the recurrence dynamics of queries in Web search by analysing a large real-world query log dataset. We find that query frequency is more useful in predicting collective query recurrence whereas query recency is more useful in predicting individual query recurrence. Our findings provide valuable insights for understanding and improving Web search.

Key concepts: Web search query, Web query classification, Computer science, Query expansion, Query optimization, Information retrieval, Query language, Sargable

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