✳flâneur — a map of the web's best reading
Recommendation System Series Part 3: The 6 Research Directions of Deep Recommendation Systems That Will Change The Game | by James Le | Towards Data Science
towardsdatascience.com · 2,718 words · saved by 1 readers
Research Directions in the Recommendation Community
Recommendation System Series Part 3: The 6 Research Directions of Deep Recommendation Systems That... | Towards Data Science Skip to content Deep Learning Recommendation System Series Part 3: The 6 Research Directions of Deep Recommendation Systems That… Research Directions in the Recommendation Community James Le Nov 21, 2019 13 min read Share RecSys Series Update: This article is part of a series where I explore recommendation systems in academia and industry. Check out the full series: Part 1 , Part 2 , Part 3 , Part 4 , Part 5 , and Part 6 . Introduction In the past couple of years,
Explore this link on the map →related reading
- Recommendation System Series Part 2: The 10 Categories of Deep Recommendation Systems That... | Towards Data Sciencetowardsdatascience.com
- Wide & Deep Learning for Recommender Systems | by Atul Anand | Analytics Vidhya | Mediummedium.com
- Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
- Is this the ChatGPT moment for recommendation systems? | Shapedshaped.ai
- Recommendation System Series Part 1: An Executive Guide to Building Recommendation System | Towards Data Sciencetowardsdatascience.com
- The Little Book of Deep Learningfleuret.org
- The Decade of Deep Learning | Leo Gaobmk.sh
- DeepSeek-R1arxiv.org
- Just Ask for Generalization | Eric Jangevjang.com
- GenAI Handbookgenai-handbook.github.io
- Recommendation System Series Part 4: The 7 Variants of MF For Collaborative Filtering | Towards Data Sciencetowardsdatascience.com
- Beyond “People Also Liked”: Building Intelligent Food Recommenders with LLMs | by Faisal Hussain Sabir | Mediummedium.com