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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 the 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 similarity-based retrieval, the answers returned by... (Update)
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BibTeX entry: (Update)
@article{ picard01using,
author = "Justin Picard and Jacques Savoy",
title = "Using Probabilistiv Argumentation System to Search and Classify Web Sites",
journal = "IEEE Data Engineering Bulletin",
volume = "24",
number = "3",
pages = "33-41",
year = "2001",
url = "citeseer.ist.psu.edu/picard01using.html" }
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