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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