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Context-Aware Recommendations Based on Deep Learning Frameworks

https://doi.org/10.1145/3386243
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/s10462-018-9654-yopenalex-snapshot
A review on deep learning for recommender systems: challenges and remedies
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Experimental evaluation of context-dependent collaborative filtering using item splitting
inferredcites →https://doi.org/10.1016/0169-7439(87)80084-9openalex-snapshot
Principal component analysis
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.knosys.2017.04.011openalex-snapshot
Improving performance of tensor-based context-aware recommenders using Bias Tensor Factorization with context feature auto-encoding
inferredcites →https://doi.org/10.1016/j.neucom.2015.08.104openalex-snapshot
Auto-encoder based dimensionality reduction
inferredcites →https://doi.org/10.1109/cvpr.2014.246openalex-snapshot
Learning Non-linear Reconstruction Models for Image Set Classification
inferredcites →https://doi.org/10.1109/ictai.2013.20openalex-snapshot
ICAMF: Improved Context-Aware Matrix Factorization for Collaborative Filtering
inferredcites →https://doi.org/10.1109/mcom.2010.5560598openalex-snapshot
A survey of mobile phone sensing
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.2017.2741484openalex-snapshot
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1497577.1497578openalex-snapshot
Clustering high-dimensional data
inferredcites →https://doi.org/10.1145/1639714.1639759openalex-snapshot
Context-based splitting of item ratings in collaborative filtering
inferredcites →https://doi.org/10.1145/2009916.2010002openalex-snapshot
Fast context-aware recommendations with factorization machines
inferredcites →https://doi.org/10.1145/2043932.2043988openalex-snapshot
Matrix factorization techniques for context aware recommendation
inferredcites →https://doi.org/10.1145/2645710.2645756openalex-snapshot
CSLIM
inferredcites →https://doi.org/10.1145/2661829.2662070openalex-snapshot
CARS2
inferredcites →https://doi.org/10.1145/2820975.2820980openalex-snapshot
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices
inferredcites →https://doi.org/10.1145/2959100.2959162openalex-snapshot
Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks
inferredcites →https://doi.org/10.1145/2959100.2959165openalex-snapshot
Convolutional Matrix Factorization for Document Context-Aware Recommendation
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3079628.3079666openalex-snapshot
Inferring Contextual Preferences Using Deep Auto-Encoding
inferredcites →https://doi.org/10.1145/3125486.3125488openalex-snapshot
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
inferredcites →https://doi.org/10.1145/3234944.3234956openalex-snapshot
Attentive Contextual Denoising Autoencoder for Recommendation
inferredcites →https://doi.org/10.1145/3269206.3271813openalex-snapshot
An Attentive Interaction Network for Context-aware Recommendations
inferredcites →https://doi.org/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1287/isre.2015.0610openalex-snapshot
Research Note—In CARSs We Trust: How Context-Aware Recommendations Affect Customers’ Trust and Other Business Performance Measures of Recommender Systems
inferredcites →https://doi.org/10.1609/aimag.v32i3.2364openalex-snapshot
Context‐Aware Recommender Systems
inferredcites →https://doi.org/10.2307/41703503openalex-snapshot
Business Intelligence and Analytics: From Big Data to Big Impact
inferredcites →https://doi.org/10.2307/41703509openalex-snapshot
A Hidden Markov Model for Collaborative Filtering1
inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot
Deep Learning based Recommender System: A Survey and New Perspectives
inferredcites →https://doi.org/10.5555/2481674.2481683openalex-snapshot
Business intelligence and analytics

What points at this work

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

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Hybrid Recommender System Model for Tourism Industry Competitiveness Increment
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Cross-Domain Transfer Learning with Selective Domain Adaptation for Breaking the Cold Start Barrier in Recommendation System
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Evaluation of the Impact of Data Sparsity on Collaborative Filtering Models in Context-Aware Recommendation Systems
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Survey on Collaborative Filtering Technique for Recommender System Using Deep Learning
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A systematic review of advancements in context-aware recommendation systems
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Enhancing Top-N Recommendation Using Stacked Autoencoder in Context-Aware Recommender System
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Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder
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Enhancing crop productivity through autoencoder-based disease detection and context-aware remedy recommendation system
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Argumentation meets matrix factorization: A dual perspective for explainable recommendations
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A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering
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Evolving context-aware recommender systems with users in mind
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A recommender system for occupational hygiene services using natural language processing
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DeepCARSKit: A deep learning based context-aware recommendation library
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Personalised context-aware re-ranking in recommender system
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Restaurant recommendation model using textual information to estimate consumer preference: evidence from an online restaurant platform
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Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities
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Kernel-Based Matrix Factorization With Weighted Regularization for Context-Aware Recommender Systems
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An Attentive Aspect-Based Recommendation Model With Deep Neural Network
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An Approach for Multi-Context-Aware Multi-Criteria Recommender Systems Based on Deep Learning
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A Systematic Review of the Impact of Auxiliary Information on Recommender Systems
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Digital Twin-Enhanced Smart Environments: An IoT-AI Framework for Contextual Personalization
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ОСТАННІ ТЕНДЕНЦІЇ, ВИКЛИКИ ТА ПЕРСПЕКТИВИ В ОБЛАСТІ ГРУПОВИХ РЕКОМЕНДАЦІЙНИХ СИСТЕМ
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