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Personalized Movie Recommendations Based on a Multi-Feature Attention Mechanism with Neural Networks
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2 of the 43 references listed on this page are in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s11042-017-5515-y (notice 2022-09-13), 10.1155/2022/1632735 (notice 2023-12-20).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-57884-8_1openalex-snapshot
Method of Multi-feature Fusion Based on Attention Mechanism in Malicious Software Detection
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Estimation of soil moisture using decision tree regression
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RETRACTED ARTICLE: Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System
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Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression
inferredcites →https://doi.org/10.1016/j.comcom.2020.02.068openalex-snapshot
DST-HRS: A topic driven hybrid recommender system based on deep semantics
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.107916openalex-snapshot
Context-aware session recommendation based on recurrent neural networks
inferredcites →https://doi.org/10.1016/j.dss.2019.01.001openalex-snapshot
A noise correction-based approach to support a recommender system in a highly sparse rating environment
inferredcites →https://doi.org/10.1016/j.eswa.2017.07.030openalex-snapshot
Autoencoders and recommender systems: COFILS approach
inferredcites →https://doi.org/10.1016/j.eswa.2022.116850openalex-snapshot
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
inferredcites →https://doi.org/10.1016/j.ins.2017.06.026openalex-snapshot
Deep hybrid recommender systems via exploiting document context and statistics of items
inferredcites →https://doi.org/10.1016/j.jocs.2018.03.009openalex-snapshot
Movie recommendation based on bridging movie feature and user interest
inferredcites →https://doi.org/10.1016/j.jocs.2018.05.012openalex-snapshot
Exploring New Vista of intelligent collaborative filtering: A restaurant recommendation paradigm
inferredcites →https://doi.org/10.1016/j.jocs.2018.08.004openalex-snapshot
Moreopt: A goal programming based movie recommender system
inferredcites →https://doi.org/10.1016/j.knosys.2010.03.009openalex-snapshot
A new collaborative filtering metric that improves the behavior of recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2013.12.007openalex-snapshot
Merging trust in collaborative filtering to alleviate data sparsity and cold start
inferredcites →https://doi.org/10.1016/j.knosys.2018.09.011openalex-snapshot
Singular value decomposition based recommendation using imputed data
inferredcites →https://doi.org/10.1016/j.neucom.2021.03.091openalex-snapshot
A review on the attention mechanism of deep learning
inferredcites →https://doi.org/10.1016/j.procs.2019.11.039openalex-snapshot
Personalized Micro-Service Recommendation System for Online News
inferredcites →https://doi.org/10.1016/j.ygeno.2019.01.001openalex-snapshot
Efficient clustering in collaborative filtering recommender system: Hybrid method based on genetic algorithm and gravitational emulation local search algorithm
inferredcites →https://doi.org/10.1109/access.2018.2789866openalex-snapshot
A Recommendation Model Based on Deep Neural Network
inferredcites →https://doi.org/10.1109/access.2019.2936630openalex-snapshot
Collaborative Filtering Based on Gaussian Mixture Model and Improved Jaccard Similarity
inferredcites →https://doi.org/10.1109/cis.2013.145openalex-snapshot
A Survey on the Internet of Things Security
inferredcites →https://doi.org/10.1109/dese.2010.40openalex-snapshot
A Proactive Personalized Mobile News Recommendation System
inferredcites →https://doi.org/10.1109/iciibms55689.2022.9971527openalex-snapshot
Research on Recommendation Algorithm Based on Comment Text
inferredcites →https://doi.org/10.1109/icist55546.2022.9926769openalex-snapshot
Movie Rating Prediction Recommendation Algorithm based on XGBoost-DNN
inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9534272openalex-snapshot
Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification
inferredcites →https://doi.org/10.1145/2959100.2959165openalex-snapshot
Convolutional Matrix Factorization for Document Context-Aware Recommendation
inferredcites →https://doi.org/10.1155/2022/1256083openalex-snapshot
Personalized Product Recommendation Model of Automatic Question Answering Robot Based on Deep Learning
inferredcites →https://doi.org/10.1155/2022/1487586openalex-snapshot
User Personalized Recommendation Algorithm Based on GRU Network Model in Social Networks
inferredcites →https://doi.org/10.1155/2022/1632735openalex-snapshot
An Advertising Recommendation Algorithm Based on Deep Learning Fusion Model
inferredcites →https://doi.org/10.1155/2022/2778181openalex-snapshot
Analysis of Sentiment and Personalised Recommendation in Musical Performance
inferredcites →https://doi.org/10.1155/2022/7646000openalex-snapshot
Music Individualization Recommendation System Based on Big Data Analysis
inferredcites →https://doi.org/10.1609/aaai.v32i1.11618openalex-snapshot
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.32604/iasc.2022.027067openalex-snapshot
Movie Recommendation Algorithm Based on Ensemble Learning
inferredcites →https://doi.org/10.3390/math10091568openalex-snapshot
A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews
inferredcites →https://doi.org/10.3390/math10162956openalex-snapshot
Graph Transformer Collaborative Filtering Method for Multi-Behavior Recommendations
inferredcites →https://doi.org/10.3390/math9020197openalex-snapshot
Design and Analysis of a Cluster-Based Intelligent Hybrid Recommendation System for E-Learning Applications
inferredcites →https://doi.org/10.3390/s22134904openalex-snapshot
Movie Recommender Systems: Concepts, Methods, Challenges, and Future Directions
inferredcites →https://doi.org/10.53106/199115992022083304001openalex-snapshot
Chinese News Text Classification and Its Application Based on Combined-Convolutional Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-981-96-3287-9_36openalex-snapshot
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inferred← citeshttps://doi.org/10.1063/5.0250370openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccit63348.2025.10989412openalex-snapshot
Ranking Movie Recommendations Using Content-Based Filtering and Word Embeddings
inferred← citeshttps://doi.org/10.1109/icdsis65355.2025.11071087openalex-snapshot
Personalized Movie Recommendation System based on Proximal Policy Optimization
inferred← citeshttps://doi.org/10.1109/tmm.2026.3651046openalex-snapshot
Crop the Way You Like: Personalized Image Cropping by Integrating Subjective and Objective Features
inferred← citeshttps://doi.org/10.1142/s0129156425406667openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s0218126625500148openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app14062505openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app15105372openalex-snapshot
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inferred← citeshttps://doi.org/10.37789/rochi.2023.1.1.5openalex-snapshot
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