Exact(12)
Retrieve and Rank: uses machine learning look at "signals" in data to improve information retrieval.
First, how to combine the use of domain ontology and semantics to improve information retrieval and user experience?
This is not unlike the observations of [23] where using WordNet did not significantly improve information retrieval performance.
While ours is designed to explore emergent structures in the semantic space (i.e. clusters of musical descriptions), the other methods are designed primarily to improve information retrieval by reducing the dimensionality of the space [18].
Furthermore, we will explore approaches to incorporate figure ranking to improve information retrieval in the Genomics domain.
In the former case (e.g. LSA [4], probabilistic latent semantic analysis, or pLSA [38], LDA [26], [38], Isomap [39]) the purpose is often to improve information retrieval systems by indicating which documents are similar and which are not.
Similar(48)
More efficient automatic information retrieval (without human intervention) contributes to generate specific web page repositories, along with improved information retrieval system feedback to users.
Furthermore, Rabkin [5] identified that security questions are getting weaker due to improved information retrieval techniques and increase in online content.
In another study, Rabkin [8] identified that security questions are getting weaker due to improved information retrieval techniques and increases in online content.
In many cases, user behavior is considered to be an implicit feedback, and its analysis is done for improving information retrieval by predicting user preferences, re-ranking Web search results and disambiguating queries.
Furthermore, static security questions are becoming weaker due to improved information retrieval techniques and increases in online content [8], where an attacker can obtain the answers to many of the static challenge questions by mining online sources (e.g., social networking sites, public records or even a simple Google search).
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Justyna Jupowicz-Kozak
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