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KDD
1998
ACM
101views Data Mining» more  KDD 1998»
13 years 12 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
DAS
2008
Springer
13 years 9 months ago
Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval
In this paper we present an adaptive method for graphic symbol representation based on shape contexts. The proposed descriptor is invariant under classical geometric transforms (r...
T.-O. Nguyen, Salvatore Tabbone, Oriol Ramos Terra...
ERCIMDL
2008
Springer
111views Education» more  ERCIMDL 2008»
13 years 9 months ago
Information Retrieval and Filtering over Self-organising Digital Libraries
We present iClusterDL, a self-organising overlay network that supports information retrieval and filtering functionality in a digital library environment. iClusterDL is able to han...
Paraskevi Raftopoulou, Euripides G. M. Petrakis, C...
LREC
2010
170views Education» more  LREC 2010»
13 years 9 months ago
Building a Domain-specific Document Collection for Evaluating Metadata Effects on Information Retrieval
This paper describes the development of a structured document collection containing user-generated text and numerical metadata for exploring the exploitation of metadata in inform...
Walid Magdy, Jinming Min, Johannes Leveling, Garet...
ECIR
2007
Springer
13 years 9 months ago
Combination of Document Priors in Web Information Retrieval
Query-independent features (also called document priors), such as the number of incoming links to a document, its Page-Rank, or the type of its associated URL, have been successfu...
Jie Peng, Iadh Ounis