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… (More)
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Papers overview

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Review
2017
Review
2017
Serverless computing has emerged as a new compelling paradigm for the deployment of applications and services. It represents an… (More)
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Highly Cited
2013
Highly Cited
2013
As a tremendous number of mobile applications (apps) are readily available, users have difficulty in identifying apps that are… (More)
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Highly Cited
2011
Highly Cited
2011
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start… (More)
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Highly Cited
2010
Highly Cited
2010
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of… (More)
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Highly Cited
2010
Highly Cited
2010
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for… (More)
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Highly Cited
2009
Highly Cited
2009
Recommender systems are widely used in online e-commerce applications to improve user engagement and then to increase revenue. A… (More)
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Highly Cited
2008
Highly Cited
2008
Recommender systems for automatically suggested items of interest to users have become increasingly essential in fields where… (More)
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Highly Cited
2008
Highly Cited
2008
Collaborative filtering is one of the most successful and widely used methods of automated product recommendation in online… (More)
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Highly Cited
2006
Highly Cited
2006
The goal of a recommender system is to suggest items of interest to a user based on historical behavior of a community of users… (More)
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Highly Cited
2002
Highly Cited
2002
We have developed a method for recommending items that combines content and collaborative data under a single probabilistic… (More)
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