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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

14 relations
Active learning (machine learning)BookCollaborative filteringFirst-time user experience

Broader (1)

Collective intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Joint Training Capsule Network for Cold Start Recommendation
This paper proposes a novel neural network, joint training capsule network (JTCN), for the cold start recommendation task. We… 
2018
2018
A novel 2D-Graph clustering method based on trust and similarity measures to enhance accuracy and coverage in recommender systems
Review
2018
Review
2018
Tensor factorization method based on review text semantic similarity for rating prediction
2014
2014
Preventing spam in opportunistic networks
2013
2013
Information filtering by similarity-preferential diffusion processes
Recommender systems provide a promising way to address the information overload problem which is common in online systems. Based… 
Review
2012
Review
2012
Survey Paper on Recommendation System
-Today there is a big variety of different approaches and algorithms of data filtering and recommendation . In this paper we… 
2010
2010
Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method
Collaborative filtering (CF) is the process of predicting a user’s interest in various items, such as books or movies, based on… 
Highly Cited
2010
Highly Cited
2010
Personalized rough-set-based recommendation by integrating multiple contents and collaborative information
Highly Cited
2005
Highly Cited
2005
Stochastic limit control and its application to spark limit control using ionization feedback
Spark timing of an internal combustion (IC) engine is often limited by engine knock in advanced direction and by partial burn and… 
Highly Cited
2002
Highly Cited
2002
Modelling the three-way catalytic converter with mechanistic kinetics using the Newton–Krylov method on a parallel computer
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