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A Fast Deep AutoEncoder for high-dimensional and sparse matrices in recommender systems

https://doi.org/10.1016/j.neucom.2020.06.109

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-85820-3openalex-snapshot

Recommender Systems Handbook

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_5openalex-snapshot

Advances in Collaborative Filtering

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_8openalex-snapshot

Evaluating Recommendation Systems

inferredcites →https://doi.org/10.1007/s12559-016-9404-xopenalex-snapshot

Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip

inferredcites →https://doi.org/10.1016/j.future.2015.03.023openalex-snapshot

Improving the predictability of distributed stream processors

inferredcites →https://doi.org/10.1016/j.knosys.2008.07.004openalex-snapshot

Recommendation based on rational inferences in collaborative filtering

inferredcites →https://doi.org/10.1016/j.neucom.2017.08.043openalex-snapshot

Facial expression recognition via learning deep sparse autoencoders

inferredcites →https://doi.org/10.1016/j.neucom.2020.04.001openalex-snapshot

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip

inferredcites →https://doi.org/10.1038/srep08638openalex-snapshot

Identification of hybrid node and link communities in complex networks

inferredcites →https://doi.org/10.1109/access.2015.2510659openalex-snapshot

A Comprehensive Recommender System Model: Improving Accuracy for Both Warm and Cold Start Users

inferredcites →https://doi.org/10.1109/bigdata.2016.7840689openalex-snapshot

Connection discovery using shared images by Gaussian relational topic model

inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot

Collaborative Filtering for Implicit Feedback Datasets

inferredcites →https://doi.org/10.1109/jas.2016.7510040openalex-snapshot

Comparative study of different decoupling schemes for TITO binary distillation column via PI controller

inferredcites →https://doi.org/10.1109/jas.2017.7510421openalex-snapshot

Exploring latent semantic information for textual emotion recognition in blog articles

inferredcites →https://doi.org/10.1109/jas.2018.7511144openalex-snapshot

Parallel reinforcement learning: a framework and case study

inferredcites →https://doi.org/10.1109/jas.2019.1911447openalex-snapshot

An embedded feature selection method for imbalanced data classification

inferredcites →https://doi.org/10.1109/jas.2019.1911744openalex-snapshot

Clustering structure analysis in time-series data with density-based clusterability measure

inferredcites →https://doi.org/10.1109/jas.2019.1911792openalex-snapshot

Research progress of parallel control and management

inferredcites →https://doi.org/10.1109/jas.2019.1911795openalex-snapshot

Big data analytics in telecommunications: literature review and architecture recommendations

inferredcites →https://doi.org/10.1109/jas.2020.1003069openalex-snapshot

Post-processing time-aware optimal scheduling of single robotic cluster tools

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1109/tbdata.2016.2622719openalex-snapshot

Architecting Time-Critical Big-Data Systems

inferredcites →https://doi.org/10.1109/tcyb.2017.2685521openalex-snapshot

Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data

inferredcites →https://doi.org/10.1109/tcyb.2019.2894283openalex-snapshot

Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications

inferredcites →https://doi.org/10.1109/tcyb.2019.2903736openalex-snapshot

Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors

inferredcites →https://doi.org/10.1109/tie.2009.2027917openalex-snapshot

A Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments

inferredcites →https://doi.org/10.1109/tii.2013.2258677openalex-snapshot

An Efficient Recommendation Method for Improving Business Process Modeling

inferredcites →https://doi.org/10.1109/tii.2014.2308433openalex-snapshot

An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems

inferredcites →https://doi.org/10.1109/tii.2017.2766528openalex-snapshot

An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications

inferredcites →https://doi.org/10.1109/tii.2019.2908958openalex-snapshot

Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach

inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot

Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

inferredcites →https://doi.org/10.1109/tkde.2011.15openalex-snapshot

Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques

inferredcites →https://doi.org/10.1109/tnano.2019.2932271openalex-snapshot

An Improved Particle Filter With a Novel Hybrid Proposal Distribution for Quantitative Analysis of Gold Immunochromatographic Strips

inferredcites →https://doi.org/10.1109/tnnls.2015.2412037openalex-snapshot

Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models

inferredcites →https://doi.org/10.1109/tnnls.2015.2415257openalex-snapshot

A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

inferredcites →https://doi.org/10.1109/tnnls.2015.2479223openalex-snapshot

Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints

inferredcites →https://doi.org/10.1109/tnnls.2018.2846646openalex-snapshot

Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

inferredcites →https://doi.org/10.1109/tpwrs.2011.2174810openalex-snapshot

Reconstructing Missing Data in State Estimation With Autoencoders

inferredcites →https://doi.org/10.1109/tsc.2016.2597829openalex-snapshot

An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization

inferredcites →https://doi.org/10.1109/tsmc.2018.2875452openalex-snapshot

A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method

inferredcites →https://doi.org/10.1145/1390156.1390294openalex-snapshot

Extracting and composing robust features with denoising autoencoders

inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot

Factorization meets the neighborhood

inferredcites →https://doi.org/10.1145/245108.245124openalex-snapshot

Fab

inferredcites →https://doi.org/10.1145/245108.245126openalex-snapshot

GroupLens

inferredcites →https://doi.org/10.1145/2740908openalex-snapshot

Proceedings of the 24th International Conference on World Wide Web

inferredcites →https://doi.org/10.1145/2740908.2742726openalex-snapshot

AutoRec

inferredcites →https://doi.org/10.1145/2835776.2835837openalex-snapshot

Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

inferredcites →https://doi.org/10.1145/3097983.3098077openalex-snapshot

Collaborative Variational Autoencoder for Recommender Systems

inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot

Evaluating collaborative filtering recommender systems

inferredcites →https://doi.org/10.24963/ijcai.2017/447openalex-snapshot

Deep Matrix Factorization Models for Recommender Systems

inferredcites →https://doi.org/10.48550/arxiv.1106.5730openalex-snapshot

HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot

Deep Learning based Recommender System: A Survey and New Perspectives

inferredcites →https://doi.org/10.48550/arxiv.1809.00999openalex-snapshot

Towards Large Scale Training Of Autoencoders For Collaborative Filtering

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Novel Semi-Supervised Restricted Boltzmann Machine from the Perspective of Low-Dimensional Representation Distribution for Microstructure Image Clustering

inferred← citeshttps://doi.org/10.1007/978-3-031-31153-6_18openalex-snapshot

An Improved Recommender System for Dealing with Data Sparsity Using Autoencoders and Neural Collaborative Filtering

inferred← citeshttps://doi.org/10.1007/978-981-19-8140-1_5openalex-snapshot

Improve Robustness of Latent Feature Learning Using Double-Space

inferred← citeshttps://doi.org/10.1007/978-981-99-5766-8_7openalex-snapshot

A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm

inferred← citeshttps://doi.org/10.1007/s00521-023-08958-3openalex-snapshot

Deep learning-based collaborative filtering recommender systems: a comprehensive and systematic review

inferred← citeshttps://doi.org/10.1007/s00607-022-01103-3openalex-snapshot

OPHAencoder: An unsupervised approach to identify groups in group recommendations

inferred← citeshttps://doi.org/10.1007/s10115-021-01628-7openalex-snapshot

Collaborative filtering recommender systems taxonomy

inferred← citeshttps://doi.org/10.1007/s11042-024-20262-3openalex-snapshot

Deep learning approaches to address cold start and long tail challenges in recommendation systems: a systematic review

inferred← citeshttps://doi.org/10.1007/s11042-026-21655-2openalex-snapshot

Deep learning-based recommendation systems: a comprehensive review of methods and applications

inferred← citeshttps://doi.org/10.1016/j.cageo.2024.105657openalex-snapshot

A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115825openalex-snapshot

Representation learning with collaborative autoencoder for personalized recommendation

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Energy-efficient VM scheduling based on deep reinforcement learning

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110254openalex-snapshot

An improved autoencoder for recommendation to alleviate the vanishing gradient problem

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An autoencoder-like deep NMF representation learning algorithm for clustering

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.01.129openalex-snapshot

Hybrid collaborative recommendation of co-embedded item attributes and graph features

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128718openalex-snapshot

A collaborative filtering recommender systems: Survey

inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.108openalex-snapshot

A PRISMA-Based Systematic Review on Deep Learning in Multi-Criteria Recommender Systems

inferred← citeshttps://doi.org/10.1049/csy2.12095openalex-snapshot

Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems

inferred← citeshttps://doi.org/10.1108/ijicc-11-2021-0257openalex-snapshot

A multi-preference integrated algorithm (MPIA) for the deep learning-based recommender framework (DLRF)

inferred← citeshttps://doi.org/10.1109/access.2023.3323353openalex-snapshot

Deep Learning-Based Recommendation System: Systematic Review and Classification

inferred← citeshttps://doi.org/10.1109/tetci.2023.3300740openalex-snapshot

Self-Adaptive Deep Asymmetric Network for Imbalanced Recommendation

inferred← citeshttps://doi.org/10.1109/tip.2025.3644791openalex-snapshot

Embracing the Power of Known Class Bias in Open Set Recognition From a Reconstruction Perspective

inferred← citeshttps://doi.org/10.1109/tsc.2023.3319713openalex-snapshot

A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data

inferred← citeshttps://doi.org/10.1142/s0219649222500320openalex-snapshot

An Improved Cat Swarm Search-Based Deep Ensemble Learning Model for Group Recommender Systems

inferred← citeshttps://doi.org/10.1142/s0219649224500217openalex-snapshot

Handling Massive Sparse Data in Recommendation Systems

inferred← citeshttps://doi.org/10.12677/mos.2023.123167openalex-snapshot

A Recommendation Model Integrating User Trust Relationship and Neural Network

inferred← citeshttps://doi.org/10.21203/rs.3.rs-5397444/v1openalex-snapshot

RSEIU: A recommendation algorithm for shopping based on explicit and implicit feedback of user

inferred← citeshttps://doi.org/10.3390/app16094366openalex-snapshot

DAERec-GCA: A Deep Autoencoder-Based Collaborative Filtering Framework with Genre-Channel Alignment

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