Deep Learning for Recommender Systems
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Summary
The aim of the tutorial is to encourage the application of Deep Learning techniques in Recommender Systems, to further promote research in deep learning methods forRecommender Systems.
- Type
- article
- Published
- 2017-08-27
- Cited by
- 124
- References
- 32
- OpenAlex
- https://openalex.org/W2749733699
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:40666189
Keywords
Recommender system, Computer science, Deep learning, Artificial intelligence, Deep neural networks
References
- A Neural Conversational Model
- AutoRec: Autoencoders Meet Collaborative Filtering
- Recurrent neural networks
- Locally Optimized Product Quantization for Approximate Nearest Neighbor Search
- A Fast Learning Algorithm for Deep Belief Nets
- Deep content-based music recommendation
- Distributed Representations of Words and Phrases and their Compositionality
- Collaborative Deep Learning for Recommender Systems
- Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
- VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- ITEM2VEC: Neural item embedding for collaborative filtering
- Towards Conversational Recommender Systems
- Wide & Deep Learning for Recommender Systems
- Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation
- Ask the GRU: Multi-task Learning for Deep Text Recommendations
- Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
- Deep Neural Networks for YouTube Recommendations
- Bayesian Personalized Ranking with Multi-Channel User Feedback
- DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Cited by
- Federated Meta-Learning for Recommendation
- Attention-based Group Recommendation
- Productivity, Portability, Performance: Data-Centric Python
- User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning
- NeuRec: On Nonlinear Transformation for Personalized Ranking
- A Recommender System for Ancient Books, Pamphlets and Paintings in Ritsumeikan Art Research Center Database
- DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function
- Generation meets recommendation: proposing novel items for groups of users
- Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings
- Multimedia recommender systems
- Model-Based Learning from Preference Data
- Concept to code: learning distributed representation of heterogeneous sources for recommendation
- CHAMELEON: a deep learning meta-architecture for news recommender systems
- Predicting Drug-Target Interaction Using Deep Matrix Factorization
- Dual Neural Personalized Ranking
- A collaborative filtering recommendation algorithm based on information theory and bi-clustering
- Enabling heterogeneous recommendations in OSS development: what's done and what's next in CROSSMINER
- The state-of-the-art in expert recommendation systems
- MLPrivacyGuard: Defeating Confidence Information based Model Inversion Attacks on Machine Learning Systems
- BookCeption: A Proposed Framework for an Artificially Intelligent Recommendation Platform
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