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Evaluating Refined Queries in Top-k Retrieval Systems (2003)  (Make Corrections)  (3 citations)
Kaushik Chakrabarti, Michael Ortega-Binderberger, Sharad Mehrotra, Kriengkrai Porkaew



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Abstract: In many applications, users specify target values for certain attributes/features without requiring exact matches to these values in return. Instead, the result is typically a ranked list of "top k" objects that best match the specified feature values. User subjectivity is an important aspect of such queries, i.e., which objects are relevant to the user and which are not depends on the perception of the user. Due to the subjective nature of top-k queries, the answers returned by the system... (Update)

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1.9:   Refining Top-k Selection Queries based on User Feedback - Chakrabarti, Porkaew..   (Correct)
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BibTeX entry:   (Update)

Kaushik Chakrabarti, Kriengkrai Porkaew, Michael Ortega, and Sharad Mehrotra. Evaluating Refined Queries in Top-k Retrieval Systems. Available as Technical Report TR-MARS-00-04, University of California at Irvine, online at http://www-db.ics.uci.edu/pages/publications/, July 2000. http://citeseer.ist.psu.edu/chakrabarti03evaluating.html   More

@misc{ chakrabarti00evaluating,
  author = "K. Chakrabarti and K. Porkaew and M. Ortega and S. Mehrotra",
  title = "Evaluating Refined Queries in Top-k Retrieval Systems",
  text = "Kaushik Chakrabarti, Kriengkrai Porkaew, Michael Ortega, and Sharad Mehrotra.
    Evaluating Refined Queries in Top-k Retrieval Systems. Available as Technical
    Report TR-MARS-00-04, University of California at Irvine, online at http://www-db.ics.uci.edu/pages/publications/,
    July 2000.",
  year = "2000",
  url = "citeseer.ist.psu.edu/chakrabarti03evaluating.html" }
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