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)

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.
2015
2015
Generic knowledge-based Analysis of Social Media for Recommendations
Recommender systems have been around for decades to help people find the best matching item in a pre-defined item set. Knowledge… 
Review
2015
Review
2015
CMUML System for KBP 2015 Cold Start Slot Filling
In this paper, we present an overview of the CMUML system for KBP 2015 English Cold Start Slot Filling (SF) task.The CMUML 2015… 
2014
2014
Does Personalization Benefit Everyone in the Same Way? Multilingual Search Personalization for English vs. Non-English Users
The web community is witnessing an increase in the amount of available multilingual content and the number of multilingual web… 
2013
2013
a linear integer program for the causal state splitting and reconstruction algorithm
We provide an introduction to Hidden Markov Models (HMM) followed by a description of the Causal State Splitting and… 
2013
2013
Comparing and Evaluating Semantic Data Automatically Extracted from Text
One way to obtain large amounts of semantic data is to extract facts from the vast quantities of text that is now available on… 
2012
2012
Diesel low temperature combustion : an experimental study
Diesel engine emissions of oxides of nitrogen and particulate matter can be reduced simultaneously through the use of high levels… 
2012
2012
Comparisons Between Vehicular Emissions from Real-World In-Use Testing and EPA MOVES Estimation
This research study developed a methodology to perform mandatory dynamometer vehicular emissions tests on real roads, performed… 
Review
2012
Review
2012
A Study of Recommender System Techniques
ABSTRACT Many clients like to use the Web to discover product details in the form of online reviews. These reviews are given by… 
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… 
2009
2009
RCCtrust: A Combined Trust Model for Electronic Community
Previous trust models are mainly focused on reputational mechanism based on explicit trust ratings. However, the large amount of…