Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
ACCURATE AND JUSTIFIABLE: NEW ALGORITHMS FOR EXPLAINABLE RECOMMENDATIONS 
2016
2016
The large amount of information that is currently being collected (the so-called “big data”), have resulted in model-based… 
2015
2015
Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge… 
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
Diesel engine emissions of oxides of nitrogen and particulate matter can be reduced simultaneously through the use of high levels… 
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
Personalized recommender systems provide relevant items to users from huge catalogue. Collaborative filtering (CF) and content… 
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… 
1978
1978
Cold-start miss ratios are miss ratios that are measured with an initially empty first-level store. The values obtained depend on…