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Implication in information retrieval systems.

Authors: Ughetto, Laurent; Pasi, Gabriella; Claveau, Vincent; Pivert, Olivier; Bosc, Patrick;

Implication in information retrieval systems.

Abstract

Some IR models make use of an implication to match a document d and a query q, computing either "q implies d" (e.g. in fuzzy inclusion models) or, the other way, "d implies q" (e.g. in logical IR models). This paper analyzes, from a theoretical point of view, the IR models using both approaches. Even if the above notations seem to be opposite, it is shown that they sometimes come from different formulations of the same paradigm, which led to mistakes in the literature. Then the paper comes back to fuzzy models based on "q implies d" (q included in d) and shows their efficiency, and compares them to models based on "d implies q" (d included in q). The latter is attractive from a theoretical point of view, but turns out to be less efficient in practice, and is rarely adopted in the literature. At last, attempts to use "d implies q" in a fuzzy model are discussed, and we try to explain their inefficiency.

Countries
France, Italy
Keywords

IR models, fuzzy logic, fuzzy implication, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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