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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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Related topics
Related topics
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Active learning (machine learning)
Book
Collaborative filtering
First-time user experience
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Broader (1)
Collective intelligence
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Adaptive Collaborative Filtering Based on Scalable Clustering for Big Recommender Systems
O-Joun Lee
,
Minsung Hong
,
Jason J. Jung
,
Juhyun Shin
,
Pankoo Kim
2016
Corpus ID: 51960682
The large amount of information that is currently being collected (the so-called “big data”), have resulted in model-based…
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2015
2015
Generic knowledge-based Analysis of Social Media for Recommendations
V. D. Graaff
,
A. V. D. Venis
,
M. V. Keulen
,
R. By
CBRecSys@RecSys
2015
Corpus ID: 7627663
Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge…
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Review
2012
Review
2012
Survey Paper on Recommendation System
M. Kohar
,
Chhavi Rana
2012
Corpus ID: 18365907
-Today there is a big variety of different approaches and algorithms of data filtering and recommendation . In this paper we…
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2012
2012
Diesel low temperature combustion : an experimental study
A. Sarangi
2012
Corpus ID: 94398241
Diesel engine emissions of oxides of nitrogen and particulate matter can be reduced simultaneously through the use of high levels…
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Review
2012
Review
2012
A Study of Recommender System Techniques
R. Pagare
,
Anita Shinde
2012
Corpus ID: 15149703
ABSTRACT Many clients like to use the Web to discover product details in the form of online reviews. These reviews are given by…
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2012
2012
User Semantic Preferences for Collaborative Recommendations
Sonia Ben Ticha
,
A. Roussanaly
,
A. Boyer
,
K. Bsaïes
International Conference on Electronic Commerce…
2012
Corpus ID: 15522843
Personalized recommender systems provide relevant items to users from huge catalogue. Collaborative filtering (CF) and content…
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2012
2012
Comparisons Between Vehicular Emissions from Real-World In-Use Testing and EPA MOVES Estimation
Doh-Won Lee
,
Jeremy D Johnson
,
J. Lv
,
K. Novak
,
J. Zietsman
2012
Corpus ID: 107121889
This research study developed a methodology to perform mandatory dynamometer vehicular emissions tests on real roads, performed…
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2011
2011
Experiment and simulation study on cold start of automotive PEMFC
Youcai Li
,
Sichuan Xu
,
Zhigang Yang
,
Yongxiang Li
International Conference on Electric Information…
2011
Corpus ID: 7761411
Different methods to improve the cold start of a stack were studied under the different conditions using experiments and…
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2010
2010
Towards Fully Distributed and Privacy-Preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data
Jae-wook Ahn
,
X. Amatriain
IEEE/WIC/ACM International Conference on Web…
2010
Corpus ID: 6433948
Expert Collaborative Filtering is an approach to recommender systems in which recommendations for users are derived from ratings…
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2007
2007
Design, Fabrication, and Test of a LOX/LCH4 RCS Igniter at NASA
S. Schneider
,
J. John
,
J. Zoeckler
2007
Corpus ID: 108766069
Abstract A workhorse liquid oxygen-liquid methane (LOX/LCH 4 ) rocket igniter was recently tested at NASA Glenn Research Center’s…
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