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The Use of Machine Learning Algorithms in Recommender Systems: A
  Systematic Review

The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review

17 November 2015
I. Portugal
Paulo S. C. Alencar
Donald D. Cowan
ArXivPDFHTML

Papers citing "The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review"

17 / 17 papers shown
Title
A multi-theoretical kernel-based approach to social network-based
  recommendation
A multi-theoretical kernel-based approach to social network-based recommendation
Xin Li
Mengyue Wang
T. -P. Liang
80
43
0
15 Dec 2024
CSM-H-R: A Context Modeling Framework in Supporting Reasoning Automation
  for Interoperable Intelligent Systems and Privacy Protection
CSM-H-R: A Context Modeling Framework in Supporting Reasoning Automation for Interoperable Intelligent Systems and Privacy Protection
Songhui Yue
Xiaoyang Hong
Randy K. Smith
19
0
0
21 Aug 2023
Centroid Distance Distillation for Effective Rehearsal in Continual
  Learning
Centroid Distance Distillation for Effective Rehearsal in Continual Learning
Daofeng Liu
Fan Lyu
Linyan Li
Zhenping Xia
Fuyuan Hu
27
4
0
06 Mar 2023
A Brief Overview of AI Governance for Responsible Machine Learning
  Systems
A Brief Overview of AI Governance for Responsible Machine Learning Systems
Navdeep Gill
Abhishek Mathur
Marcos V. Conde
29
5
0
21 Nov 2022
A Human-ML Collaboration Framework for Improving Video Content Reviews
A Human-ML Collaboration Framework for Improving Video Content Reviews
Meghana Deodhar
Xiao Ma
Yixin Cai
Alex Koes
Alex Beutel
Jilin Chen
29
3
0
18 Oct 2022
Simulated Contextual Bandits for Personalization Tasks from
  Recommendation Datasets
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets
Anton Dereventsov
A. Bibin
24
1
0
12 Oct 2022
Taming Multi-Output Recommenders for Software Engineering
Taming Multi-Output Recommenders for Software Engineering
Christoph Treude
35
4
0
31 Jul 2022
Efficient Classification with Counterfactual Reasoning and Active
  Learning
Efficient Classification with Counterfactual Reasoning and Active Learning
A. Mohammed
D. Nguyen
Bao Duong
T. Nguyen
CML
30
0
0
25 Jul 2022
Machine Learning based Anomaly Detection for Smart Shirt: A Systematic
  Review
Machine Learning based Anomaly Detection for Smart Shirt: A Systematic Review
E. C. Nunes
17
2
0
07 Mar 2022
Applications of Machine Learning in Healthcare and Internet of Things
  (IOT): A Comprehensive Review
Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review
F. Mohammadi
Farzan Shenavarmasouleh
H. Arabnia
32
16
0
06 Feb 2022
Combinations of Jaccard with Numerical Measures for Collaborative
  Filtering Enhancement: Current Work and Future Proposal
Combinations of Jaccard with Numerical Measures for Collaborative Filtering Enhancement: Current Work and Future Proposal
A. Amer
Loc X. Nguyen
6
5
0
24 Nov 2021
Unavailable Transit Feed Specification: Making it Available with
  Recurrent Neural Networks
Unavailable Transit Feed Specification: Making it Available with Recurrent Neural Networks
Ludovico Iovino
P. T. Nguyen
A. D. Salle
Francesco Gallo
Michele Flammini
AI4TS
28
6
0
20 Feb 2021
At Your Service: Coffee Beans Recommendation From a Robot Assistant
At Your Service: Coffee Beans Recommendation From a Robot Assistant
Jacopo de Berardinis
Gabriella Pizzuto
Francesco Lanza
A. Chella
Jorge Meira
Angelo Cangelosi
12
6
0
26 Aug 2020
DeepFair: Deep Learning for Improving Fairness in Recommender Systems
DeepFair: Deep Learning for Improving Fairness in Recommender Systems
Jesús Bobadilla
R. Lara-Cabrera
Ángel González-Prieto
Fernando Ortega
FaML
22
43
0
09 Jun 2020
Stable and Fair Classification
Stable and Fair Classification
Lingxiao Huang
Nisheeth K. Vishnoi
FaML
24
71
0
21 Feb 2019
Data-Driven Interaction Review of an Ed-Tech Application
Data-Driven Interaction Review of an Ed-Tech Application
Alejandro Baldominos Gómez
David Quintana
14
9
0
13 Dec 2018
Queuing Theory Guided Intelligent Traffic Scheduling through Video
  Analysis using Dirichlet Process Mixture Model
Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model
Santhosh Kelathodi Kumaran
D. P. Dogra
P. Roy
6
18
0
17 Mar 2018
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