Predicting diverse subsets using structural SVMs

@inproceedings{Yue2008PredictingDS,
  title={Predicting diverse subsets using structural SVMs},
  author={Yisong Yue and Thorsten Joachims},
  booktitle={ICML '08},
  year={2008}
}
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this reduces redundancy, effectively showing more information with the presented results. Secondly, queries are often ambiguous at some level. For example, the query "Jaguar" can refer to many different topics (such as the car or feline). A set of documents with high topic diversity ensures that fewer users abandon the query… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-7 OF 7 REFERENCES

Essential pages (Technical Report MSR-TR-2008015)

A. Swaminathan, C. Mathew, D. Kirovski
  • Microsoft Research
  • 2008
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

The Budgeted Maximum Coverage Problem

  • Inf. Process. Lett.
  • 1999
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Improving web search results using affinity graph

  • SIGIR '05
  • 2005
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL