Personalized Item Recommender System
(Redirected from Personalized Recommender System)
Jump to navigation
Jump to search
An Personalized Item Recommender System is an item recommender system that implements a personalized item recommendation algorithm to solve an personalized item recommendation task.
- Context:
- It can (typically) be an ML-based System.
- It can range from (typically) being a Data-Driven Personalized Recommender System to being a Heuristic Recommender System.
- It can cluster Agents into “taste” Clusters.
- It can (often) be a Supervised Ranking System.
- It can be created by a Personalized Recommender System Creation Task.
- It can be based on a Personalized Item Recommendations Platform.
- …
- Example(s):
- Counter-Example(s):
- See: Item Recommendation Event, Product Rating, Predictive Modeling System.