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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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Rating platforms enable large-scale collection of user opinion about items(e.g., products or other users). However, untrustworthy… Expand
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Highly Cited
2014
Highly Cited
2014
A recommender system (RS) aims to provide personalized recommendations to users for specific items (e.g., music, books). Popular… Expand
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Highly Cited
2012
Highly Cited
2012
The new user cold start issue represents a serious problem in recommender systems as it can lead to the loss of new users who… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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