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AIRS
2009
Springer
15 years 5 months ago
A Latent Dirichlet Framework for Relevance Modeling
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Viet Ha-Thuc, Padmini Srinivasan
96
Voted
VLDB
2002
ACM
193views Database» more  VLDB 2002»
14 years 10 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 11 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
CIKM
2007
Springer
15 years 5 months ago
Leveraging context in user-centric entity detection systems
A user-centric entity detection system is one in which the primary consumer of the detected entities is a person who can perform actions on the detected entities (e.g. perform a s...
Vadim von Brzeski, Utku Irmak, Reiner Kraft
71
Voted
ICPR
2004
IEEE
16 years 5 days ago
Neural Network-Based Proper Names Extraction in Fax Images
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
Laurence Likforman-Sulem, Noura Azzabou