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Identifying Similarities, Periodicities and Bursts for Online Search Queries

Summary: From MSN query logs, builds per-query daily demand time series and uses Fourier-based similarity with energy of omitted components, indexed by a metric-tree. Identifies periodicities and bursts, enables query-by-burst, and offers an interactive time-series discovery tool. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3513
Venue
SIGMOD
Year
2004
Pagerank
8.6941234e-05
Overall Rank
2,477 | 82.77%
DOI
-

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