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» Document Retrieval using a Probabilistic Knowledge Model
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CIKM
2009
Springer
15 years 4 months ago
Annotating wikipedia articles with semantic tags for structured retrieval
Structured retrieval aims at exploiting the structural information of documents when searching for documents. Structured retrieval makes use of both content and structure of docum...
Saravadee Sae Tan, Tang Enya Kong, Gian Chand Sodh...
CIKM
2010
Springer
14 years 8 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
ICML
2008
IEEE
15 years 10 months ago
Learning to learn implicit queries from gaze patterns
In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, fo...
Antti Ajanki, Kai Puolamäki, Samuel Kaski
SAC
2005
ACM
15 years 3 months ago
An information retrieval model using the fuzzy proximity degree of term occurences
Based on the idea that the closer the query terms in a document are, the more relevant this document is, we propose a mathematical model of information retrieval based on a fuzzy ...
Michel Beigbeder, Annabelle Mercier
ECIR
2010
Springer
14 years 11 months ago
Using the Quantum Probability Ranking Principle to Rank Interdependent Documents
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP)...
Guido Zuccon, Leif Azzopardi