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Cold start

Known as: Cold-start 
Cold start is a potential problem in computer-based information systems which involve a degree of automated data modelling. Specifically, it concerns… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
  • Shuanghu LuoJun Xie
  • 2016
  • Corpus ID: 10256099
Behavior-based recommendation algorithm is one class of the most important methods in recommendation systems. A variety of models… 
2015
2015
Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge… 
2013
2013
We provide an introduction to Hidden Markov Models (HMM) followed by a description of the Causal State Splitting and… 
2012
2012
Diesel engine emissions of oxides of nitrogen and particulate matter can be reduced simultaneously through the use of high levels… 
Review
2012
Review
2012
-Today there is a big variety of different approaches and algorithms of data filtering and recommendation . In this paper we… 
2012
2012
This research study developed a methodology to perform mandatory dynamometer vehicular emissions tests on real roads, performed… 
Review
2012
Review
2012
ABSTRACT Many clients like to use the Web to discover product details in the form of online reviews. These reviews are given by… 
2012
2012
Abstract : The aim of the workshop was to draw upon the core themes from the current regional and strategic climate with explicit… 
2011
2011
Different methods to improve the cold start of a stack were studied under the different conditions using experiments and… 
2007
2007
Abstract A workhorse liquid oxygen-liquid methane (LOX/LCH 4 ) rocket igniter was recently tested at NASA Glenn Research Center’s…