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» A new evaluation measure for information retrieval systems
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WWW
2007
ACM
14 years 9 months ago
Modeling user behavior in recommender systems based on maximum entropy
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
DPHOTO
2010
158views Hardware» more  DPHOTO 2010»
13 years 10 months ago
Information capacity: a measure of potential image quality of a digital camera
The aim of the paper is to define an objective measurement for evaluating the performance of a digital camera. The challenge is to mix different flaws involving geometry (as disto...
Frédéric Cao, Frederic Guichard, Her...
AAI
2011
197views Algorithms» more  AAI 2011»
13 years 20 days ago
Document Translation Retrieval Based on Statistical Machine Translation Techniques
We compare different strategies to apply statistical machine translation techniques in order to retrieve documents which are a plausible translation of a given source document. Fi...
Felipe Sánchez-Martínez, Rafael C. C...
RIAO
2007
13 years 10 months ago
Using a Content-and-Structure Oriented Method for Relevance Feedback in XML Retrieval
As opposed to traditional Information Retrieval (IR) which views whole documents as atomic units of retrieval, XML IR processes XML elements as possible units of retrieval. Many o...
Lobna Hlaoua, Mohand Boughanem, Karen Pinel-Sauvag...
SIGIR
1999
ACM
14 years 1 months ago
A Hidden Markov Model Information Retrieval System
We present a new method for information retrievalusing hidden Markov models (HMMs). We develop a general framework for incorporating multiple word generation mechanisms within the...
David R. H. Miller, Tim Leek, Richard M. Schwartz