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A CNN-Based Advertisement Recommendation through Real-Time User Face Recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-662-45646-0_2openalex-snapshot
Training Deep Belief Network with Sparse Hidden Units
inferredcites →https://doi.org/10.1007/s10462-018-9654-yopenalex-snapshot
A review on deep learning for recommender systems: challenges and remedies
inferredcites →https://doi.org/10.1007/s11257-011-9112-xopenalex-snapshot
Recommender systems: from algorithms to user experience
inferredcites →https://doi.org/10.1016/j.cviu.2007.09.014openalex-snapshot
Speeded-Up Robust Features (SURF)
inferredcites →https://doi.org/10.1016/j.dss.2015.03.008openalex-snapshot
Recommender system application developments: A survey
inferredcites →https://doi.org/10.1016/j.eij.2015.06.005openalex-snapshot
Recommendation systems: Principles, methods and evaluation
inferredcites →https://doi.org/10.1016/j.eswa.2012.02.038openalex-snapshot
A literature review and classification of recommender systems research
inferredcites →https://doi.org/10.1016/j.eswa.2018.11.011openalex-snapshot
A hybrid approach to building face shape classifier for hairstyle recommender system
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2016.01.005openalex-snapshot
Collaborative filtering with facial expressions for online video recommendation
inferredcites →https://doi.org/10.1016/j.ipm.2019.02.018openalex-snapshot
Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion
inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot
Recommender systems survey
inferredcites →https://doi.org/10.1016/j.knosys.2016.04.020openalex-snapshot
Towards latent context-aware recommendation systems
inferredcites →https://doi.org/10.1016/j.neucom.2015.10.134openalex-snapshot
Tag-aware recommender systems based on deep neural networks
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot
Deep learning in neural networks: An overview
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1038/srep19133openalex-snapshot
Temperature based Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1080/87565641.2010.549865openalex-snapshot
Behavioral and Neural Representation of Emotional Facial Expressions Across the Lifespan
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/access.2018.2877208openalex-snapshot
A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks
inferredcites →https://doi.org/10.1109/access.2018.2880197openalex-snapshot
A Survey of Recommender Systems Based on Deep Learning
inferredcites →https://doi.org/10.1109/cvpr.2016.279openalex-snapshot
Comparative Deep Learning of Hybrid Representations for Image Recommendations
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/icce-tw.2015.7216881openalex-snapshot
Enhancing retailer marketing with an facial recognition integrated recommender system
inferredcites →https://doi.org/10.1109/iccv.1999.790410openalex-snapshot
Object recognition from local scale-invariant features
inferredcites →https://doi.org/10.1109/iccv.2011.6126542openalex-snapshot
BRISK: Binary Robust invariant scalable keypoints
inferredcites →https://doi.org/10.1109/icengtechnol.2017.8308186openalex-snapshot
Understanding of a convolutional neural network
inferredcites →https://doi.org/10.1109/icomet.2018.8346440openalex-snapshot
A comparative analysis of SIFT, SURF, KAZE, AKAZE, ORB, and BRISK
inferredcites →https://doi.org/10.1109/iset.2016.12openalex-snapshot
Automatic Recommendation Technology for Learning Resources with Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tsc.2009.7openalex-snapshot
Personalized Recommendation over a Customer Network for Ubiquitous Shopping
inferredcites →https://doi.org/10.1109/tsmca.2011.2147306openalex-snapshot
Customer-Driven Content Recommendation Over a Network of Customers
inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot
Using collaborative filtering to weave an information tapestry
inferredcites →https://doi.org/10.1145/2504730.2504748openalex-snapshot
Understanding the effectiveness of video ads
inferredcites →https://doi.org/10.1145/3130348.3130372openalex-snapshot
An Algorithmic Framework for Performing Collaborative Filtering
inferredcites →https://doi.org/10.1145/3386243openalex-snapshot
Context-Aware Recommendations Based on Deep Learning Frameworks
inferredcites →https://doi.org/10.1145/358916.358995openalex-snapshot
Explaining collaborative filtering recommendations
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1146/annurev.ps.30.020179.002523openalex-snapshot
Facial Expressions of Emotion
inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot
Backpropagation Applied to Handwritten Zip Code Recognition
inferredcites →https://doi.org/10.1166/jctn.2020.8420openalex-snapshot
Music Recommendation System Based on Facial Emotion Recognition
inferredcites →https://doi.org/10.26599/bdma.2019.9020023openalex-snapshot
Text-based price recommendation system for online rental houses
inferredcites →https://doi.org/10.26599/bdma.2020.9020026openalex-snapshot
Improvising personalized travel recommendation system with recency effects
inferredcites →https://doi.org/10.26599/bdma.2021.9020002openalex-snapshot
Deep sequential model for anchor recommendation on live streaming platforms
inferredcites →https://doi.org/10.26599/tst.2020.9010028openalex-snapshot
A data-driven clustering recommendation method for single-cell RNA-sequencing data
inferredcites →https://doi.org/10.3390/app11188613openalex-snapshot
A Hybrid CNN-Based Review Helpfulness Filtering Model for Improving E-Commerce Recommendation Service
inferredcites →https://doi.org/10.3390/app7121211openalex-snapshot
Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research Direction
inferredcites →https://doi.org/10.3390/app8050799openalex-snapshot
TRSDL: Tag-Aware Recommender System Based on Deep Learning–Intelligent Computing Systems
inferredcites →https://doi.org/10.3390/info11060317openalex-snapshot
Recommender Systems Based on Collaborative Filtering Using Review Texts—A Survey
inferredcites →https://doi.org/10.3390/su13116165openalex-snapshot
Customer Satisfaction of Recommender System: Examining Accuracy and Diversity in Several Types of Recommendation Approaches
inferredcites →https://doi.org/10.4249/scholarpedia.10491openalex-snapshot
Scale Invariant Feature Transform
inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot
Deep Learning based Recommender System: A Survey and New Perspectives
inferredcites →https://doi.org/10.5220/0005861302430250openalex-snapshot
Enhancing Recommender Systems for TV by Face Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.70116openalex-snapshot
Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy
inferred← citeshttps://doi.org/10.1007/978-981-95-2901-8_29openalex-snapshot
SHCPSI: Strategic Hybrid Classification Powered Semantic Intelligence Framework for Advertisement Recommendation
inferred← citeshttps://doi.org/10.1007/s42979-024-03644-0openalex-snapshot
Genre Preferences Based Personalized Video Recommendations for Children Using Graph Neural Network
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106728openalex-snapshot
CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable developing countries
inferred← citeshttps://doi.org/10.1016/j.procs.2026.06.214openalex-snapshot
FVRWS: A Framework for Video Advertisement Recommendation Using Differential Classification of Web Data and Semantics Driven GenAI
inferred← citeshttps://doi.org/10.1057/s41270-023-00255-1openalex-snapshot
AI technologies in the analysis of visual advertising messages: survey and application
inferred← citeshttps://doi.org/10.1109/access.2022.3205610openalex-snapshot
Dual Auto-Encoder Based Rating Prediction Recommendation Algorithm
inferred← citeshttps://doi.org/10.1109/access.2024.3456562openalex-snapshot
A Novel Customer Review Analysis System Based on Balanced Deep Review and Rating Differences in User Preference
inferred← citeshttps://doi.org/10.1109/ictas64866.2025.11155295openalex-snapshot
Hybrid CNN-GRU Framework for Intelligent Video Advertisement Classification
inferred← citeshttps://doi.org/10.1109/itikd56332.2023.10100114openalex-snapshot
Image Process Based Recommender System for Social Media Marketing
inferred← citeshttps://doi.org/10.1109/nnice64954.2025.11064692openalex-snapshot
Optimization and Effect Evaluation of Deep Learning in Intelligent Advertising Recommendation System
inferred← citeshttps://doi.org/10.1109/sti53101.2021.9732565openalex-snapshot
An Al-Based Security System Using Computer Vision and NLP Conversion System
inferred← citeshttps://doi.org/10.1142/s0219649225501321openalex-snapshot
Investigating Centric and Hierarchical Approaches to Advertisement Recommendation
inferred← citeshttps://doi.org/10.1145/3581783.3611726openalex-snapshot
Emotion-Prior Awareness Network for Emotional Video Captioning
inferred← citeshttps://doi.org/10.1145/3604649openalex-snapshot
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3640457.3688028openalex-snapshot
Explainability in Music Recommender System
inferred← citeshttps://doi.org/10.1145/3689236.3689882openalex-snapshot
Unveiling the Mechanisms: A Detailed Case Study of Recommendation Algorithms in Advertising Science
inferred← citeshttps://doi.org/10.1155/2022/5936156openalex-snapshot
Automatic Recommendation of Online Music Tracks Based on Deep Learning
inferred← citeshttps://doi.org/10.1186/s40494-023-00983-8openalex-snapshot
Ancient thangka Buddha face recognition based on the Dlib machine learning library and comparison with secular aesthetics
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141177openalex-snapshot
A Hybrid Movies Recommendation System Based on Demographics and Facial Expression Analysis using Machine Learning
inferred← citeshttps://doi.org/10.15680/ijircce.2024.1203052openalex-snapshot
Comprehensive Model of Facial Detection for Gender-Based Targeted Advertising Using Deep Learning
inferred← citeshttps://doi.org/10.22266/ijies2023.0630.13openalex-snapshot
Densenet121-DNN-Based Hybrid Approach for Advertisement Classification and User Identification
inferred← citeshttps://doi.org/10.30596/jcositte.v4i2.15915openalex-snapshot
Utilization of Digital Image and Convolution Neural Network Algorithm in Customer Satisfaction Survey with Facial Expressions
inferred← citeshttps://doi.org/10.3389/fdata.2023.1281614openalex-snapshot
An overview of video recommender systems: state-of-the-art and research issues
inferred← citeshttps://doi.org/10.3390/app112311570openalex-snapshot
CitiusSynapse: A Deep Learning Framework for Embedded Systems
inferred← citeshttps://doi.org/10.3390/electronics12204321openalex-snapshot
A Negative Emotion Recognition System with Internet of Things-Based Multimodal Biosignal Data
inferred← citeshttps://doi.org/10.3390/electronics14132540openalex-snapshot
Enhancing Review-Based Recommendations Through Local and Global Feature Fusion
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