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» Modeling and predicting user behavior in sponsored search
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CIKM
2010
Springer
13 years 6 months ago
Term necessity prediction
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
Le Zhao, Jamie Callan
ECAI
2006
Springer
13 years 9 months ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
CORR
2006
Springer
67views Education» more  CORR 2006»
13 years 7 months ago
Considering users' behaviours in improving the responses of an information base
: In this paper, our aim is to propose a model that helps in the efficient use of an information system by users, within the organization represented by the IS, in order to resolve...
Babajide Afolabi, Odile Thiery
CIKM
2011
Springer
12 years 7 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
MACH
1990
13 years 8 months ago
Real-Time Mach: Towards a Predictable Real-Time System
Distributed real-time systems play a very important role in our modern society. They are used in aircraft control, communication systems, military command and control systems, fac...
Hideyuki Tokuda, Tatsuo Nakajima, Prithvi Rao