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Курс: Advanced Recommender Systems. Чтобы вернуться, нажмите здесь.
- Course overview and welcome by the instructor
- Welcome by the instructor - module overview
- Item-Based CF as Optimization Problem
- SLIM
- Recap by the instructor
- Bayesian Probabilistic Ranking
- Conclusions by the instructor
- Welcome by the instructor
- Matrix Factorization
- Funk SVD
- SVD++
- Recap by the instructor
- Asymmetric SVD
- Pure SVD
- Conclusions by the instructor
- Welcome by the instructor
- Hybrid Recommender Systems
- Linear Combination
- List Combination
- Pipelining
- Recap by the instructor
- Merging Models
- CF with Side Information
- Context-Aware Recommender Systems
- Conclusions by the instructor
- Welcome by the instructor
- Factorization Machines
- Recap by the instructor
- Explaining FM's Model
- Extending the model
- Solving the imbalance problem
- Conclusions by the instructor