Understanding temporal query dynamics

@inproceedings{Kulkarni2011UnderstandingTQ,
  title={Understanding temporal query dynamics},
  author={Anagha Kulkarni and Jaime Teevan and Krysta Marie Svore and Susan T. Dumais},
  booktitle={WSDM},
  year={2011}
}
Web search is strongly influenced by time. The queries people issue change over time, with some queries occasionally spiking in popularity (e.g., earthquake) and others remaining relatively constant (e.g., youtube). The documents indexed by the search engine also change, with some documents always being about a particular query (e.g., the Wikipedia page on earthquakes is about the query earthquake) and others being about the query only at a particular point in time (e.g., the New York Times is… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 107 CITATIONS, ESTIMATED 37% COVERAGE

FILTER CITATIONS BY YEAR

2010
2019

CITATION STATISTICS

  • 9 Highly Influenced Citations

  • Averaged 11 Citations per year over the last 3 years

Similar Papers

Loading similar papers…