Neural networks for personalized item rankings-Reference-Cited by-同舟云学术

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Neural networks for personalized item rankings

Published:2019-05 Issue: Volume:342 Page:60-65
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Feigl Josef,Bogdan Martin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference26 articles.

1. Collaborative filtering for implicit feedback datasets;Hu,2008

2. Incremental singular value decomposition algorithms for highly scalable recommender systems;Sarwar,2002

3. BPR: Bayesian personalized ranking from implicit feedback;Rendle,2009

4. Neural networks for implicit feedback datasets;Feigl,2018

5. Collaborative filtering with neural networks;Feigl,2017

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2. MulSimNet: A multi-branch sub-interest matching network for personalized recommendation;Neurocomputing;2022-07

3. A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce;Applied Soft Computing;2021-09

4. Discrete-time high-order neural network identifier trained with high-order sliding mode observer and unscented Kalman filter;Neurocomputing;2021-02

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