Deep Neural Item Recommendation System

A Deep Neural Item Recommendation System is a data-driven recommendation system that uses a deep item recommendation algorithm.

• • …
• Counter-Example(s):
  • a Factorization Machines-based Recommender System.
  • a Collaborative Filtering-based Recommender System.
• See: Deep Candidate Generation Model, Deep Item Ranking Model.

---

---

References

2016

• (Covington et al., 2016) ⇒ Paul Covington, Jay Adams, and Emre Sargin. (2016). “Deep Neural Networks for Youtube Recommendations.” In: Proceedings of the 10th ACM conference on recommender systems.

---