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DeepHCF: A Deep Learning Based Hybrid Collaborative Filtering Approach for Recommendation Systems

https://doi.org/10.1109/icmla.2018.00021

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What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_3openalex-snapshot

Content-based Recommender Systems: State of the Art and Trends

inferredcites →https://doi.org/10.1007/978-3-319-30671-1_4openalex-snapshot

Deep Learning over Multi-field Categorical Data

inferredcites →https://doi.org/10.1007/978-3-540-68880-8_32openalex-snapshot

Large-Scale Parallel Collaborative Filtering for the Netflix Prize

inferredcites →https://doi.org/10.1007/978-981-10-4154-9_52openalex-snapshot

Deep Learning Based Recommendation: A Survey

inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot

Recommender systems survey

inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot

Factorization Machines

inferredcites →https://doi.org/10.1145/1273496.1273596openalex-snapshot

Restricted Boltzmann machines for collaborative filtering

inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo

inferredcites →https://doi.org/10.1145/2020408.2020480openalex-snapshot

Collaborative topic modeling for recommending scientific articles

inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot

Collaborative Deep Learning for Recommender Systems

inferredcites →https://doi.org/10.1145/2939672.2939704openalex-snapshot

Deep Crossing

inferredcites →https://doi.org/10.1145/2959100.2959165openalex-snapshot

Convolutional Matrix Factorization for Document Context-Aware Recommendation

inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot

Deep Neural Networks for YouTube Recommendations

inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot

Wide & Deep Learning for Recommender Systems

inferredcites →https://doi.org/10.1145/3018661.3018665openalex-snapshot

Joint Deep Modeling of Users and Items Using Reviews for Recommendation

inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot

Neural Collaborative Filtering

inferredcites →https://doi.org/10.1145/3077136.3080777openalex-snapshot

Neural Factorization Machines for Sparse Predictive Analytics

inferredcites →https://doi.org/10.1145/336992.337035openalex-snapshot

Recommender systems in e-commerce

inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot

Convolutional Neural Networks for Sentence Classification

inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

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

Deep Learning based Recommender System: A Survey and New Perspectives

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4656070openalex-extracted

Rop-Cnn: Review-Based Hybrid Recommender System Using Outer Product on Cnn

inferred← citeshttps://doi.org/10.1007/978-3-030-74761-9_19openalex-snapshot

Enhanced Classification Using Restricted Boltzmann Machine Method in Deep Learning for COVID-19

inferred← citeshttps://doi.org/10.1007/978-981-19-7169-3_20openalex-snapshot

Survey on Collaborative Filtering Technique for Recommender System Using Deep Learning

inferred← citeshttps://doi.org/10.1007/s00521-022-07012-yopenalex-snapshot

DNN-MF: deep neural network matrix factorization approach for filtering information in multi-criteria recommender systems

inferred← citeshttps://doi.org/10.1007/s00521-024-10866-zopenalex-snapshot

In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends

inferred← citeshttps://doi.org/10.1007/s10586-022-03644-wopenalex-snapshot

Federated recommenders: methods, challenges and future

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106030openalex-snapshot

Restricted Boltzmann Machine-driven Interactive Estimation of Distribution Algorithm for personalized search

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106545openalex-snapshot

A deep learning based algorithm for multi-criteria recommender systems

inferred← citeshttps://doi.org/10.1049/trit.2020.0031openalex-snapshot

Multi‐model deep learning approach for collaborative filtering recommendation system

inferred← citeshttps://doi.org/10.1109/access.2019.2905534openalex-snapshot

Deep Auto Encoder Model With Convolutional Text Networks for Video Recommendation

inferred← citeshttps://doi.org/10.1109/access.2024.3393417openalex-snapshot

Review-Based Recommender System Using Outer Product on CNN

inferred← citeshttps://doi.org/10.1109/iccmc56507.2023.10083923openalex-snapshot

Recommender System for E-Commerce Application based on Deep Collaborative Conjunctive Model

inferred← citeshttps://doi.org/10.1109/icmla.2019.00034openalex-snapshot

Collaborative Attentive Autoencoder for Scientific Article Recommendation

inferred← citeshttps://doi.org/10.22214/ijraset.2021.37024openalex-snapshot

Product Recommendation System: A Systematic Literature Review

inferred← citeshttps://doi.org/10.32469/10355/88863openalex-snapshot

Exploring deep learning techniques to tackle the sparsity problem in recommender systems

inferred← citeshttps://doi.org/10.3934/era.2025053openalex-snapshot

Modeling and application of implicit feedback in personalized recommender systems

inferred← citeshttps://doi.org/10.4018/978-1-7998-6870-5.ch018openalex-snapshot

Restricted Boltzmann Machine-Driven Matchmaking Algorithm With Interactive Estimation of Distribution for Websites

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