Discovering tasks from search engine query logs

@article{Lucchese2013DiscoveringTF,
  title={Discovering tasks from search engine query logs},
  author={Claudio Lucchese and Salvatore Orlando and Raffaele Perego and Fabrizio Silvestri and Gabriele Tolomei},
  journal={ACM Trans. Inf. Syst.},
  year={2013},
  volume={31},
  pages={14}
}
Although Web search engines still answer user queries with lists of ten blue links to webpages, people are increasingly issuing queries to accomplish their daily tasks (e.g., finding a recipe, booking a flight, reading online news, etc.). In this work, we propose a two-step methodology for discovering tasks that users try to perform through search engines. First, we identify user tasks from individual user sessions stored in search engine query logs. In our vision, a user task is a set of… CONTINUE READING
Highly Cited
This paper has 45 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 5 times over the past 90 days. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 32 extracted citations

References

Publications referenced by this paper.
Showing 1-5 of 5 references

Analysis of a very large Web search engine query log

  • C. SILVERSTEIN, H. MARAIS, M. HENZINGER, M. MORICZ
  • SIGIR Forum
  • 1999
Highly Influential
16 Excerpts

Similar Papers

Loading similar papers…