Personalized Item Recommender System

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):
  • a Personal Metadata-based Recommendation System, such as:
  • a Personal Interaction-based Recommendation System, such as:
  • Netflix's Movie Recommender System.
  • PlayStation's Personalized Store Item Recommendation System.
  • …
• Counter-Example(s):
  • Search Query Recommendation System.
  • Spam Filtering System.
  • Information Retrieval (IR) System.
• See: Item Recommendation Event, Product Rating, Predictive Modeling System.

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