Deep Learning-Based Recommendation: Current Issues and Challenges
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Summary
A recent literature review of researches dealing with deep learning based recommendation approaches is provided, preceded by a presentation of the main lines of the recommendation approaches and the deep learning techniques.
- Type
- article
- Published
- 2017-01-01
- Cited by
- 13
- References
- 69
- Access
- Open access
- OpenAlex
- https://openalex.org/W2779314251
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3788130
Keywords
Computer science, Current (fluid), Deep learning, Data science, Artificial intelligence
References
- Combining Content-Based and Collaborative Filtering
- Extending a hybrid tag-based recommender system with personalization
- Fuzzy User Profile Modeling for Information Retrieval
- Recommender systems survey
- Care to comment?: recommendations for commenting on news stories
- Improving Content-based and Hybrid Music Recommendation using Deep Learning
- Incorporating reliability measurements into the predictions of a recommender system
- Restricted Boltzmann machines for collaborative filtering
- Real-time recommendation of diverse related articles
- Supervised random walks: predicting and recommending links in social networks
- A Deep Matrix Factorization Method for Learning Attribute Representations
- A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
- A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines
- A recommender system for job seeking and recruiting website
- Learning deep structured semantic models for web search using clickthrough data
- Deep content-based music recommendation
- Rank and relevance in novelty and diversity metrics for recommender systems
- A Survey of Link Recommendation for Social Networks
- Deep Learning: Methods and Applications
- Beyond accuracy: evaluating recommender systems by coverage and serendipity
Cited by
- A new model driven architecture for deep learning-based multimodal lifelog retrieval
- Improving Recommendation Techniques by Deep Learning and Large Scale Graph Partitioning
- A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
- A Product Recommendation Model Based on Recurrent Neural Network
- Towards reliability in collaborative filtering recommender systems
- Recommendation System for Enhancing eLearning using Deep Learning
- Enhanced DSSM (deep semantic structure modelling) technique for job recommendation
- A Deep Autoencoder-Based Hybrid Recommender System
- Multi-attribute Context-Aware Item Recommendation Method Based on Deep Learning
- A ListNet-based Combination of Lexical and Semantic Features to Homogenize Folksonomies in Online Social Networks
- Enhanced Movie Recommender system using Deep Learning Techniques
- AI-driven personalization in consumer goods and retail: A technical analysis
- A Novel Recommender System Using PSO, FCM and, Autoencoder
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