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◈ EN | JP ◆

Lesson 11    ❮    Lesson List    ❮    Top Page


◆  Intro to Recommendation Engine


◆  Collaborative Filtering


◆  Latent Factor Model


◆  Content-based Filtering


◈  Supervised Learning Method


⟐  Implementation

See also the following links:

▎ENGLISH

Machine Learning for Recommender systems
▸ https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-1-algorithms-evaluation-and-cold-start-6f696683d0ed

A Guide to Building Hybrid Recommendation Systems for Beginners
▸ https://analyticsindiamag.com/a-guide-to-building-hybrid-recommendation-systems-for-beginners/

▎日 本 語

情報推薦システム入門 (ハイブリッド型の説明は p.49-53)
▸ https://www.slideshare.net/KentaOku/ss-50762836

推薦システムを作るために決定木に基づく
▸ https://www.codetd.com/ja/article/6498636

©2023. All rights reserved.  Samy Baladram,
Graduate Program in Data Science - GSIS - Tohoku University
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