Data-Driven Item Recommendations Task

A Data-Driven Item Recommendations Task is an item recommendations task that is a data-driven ranking task.

• Context:
  • Input: Item Recommendations Dataset.
  • It can (typically) be solved by a Data-Driven Item(s) Recommendation System (that implements a Data-Driven Item(s) Recommendation Algorithm).
  • It can (typically) attempt to maximize a Customer Lifetime Value Measure (though possibly through proxy measures, such as MAU and time on platform).
  • …
• Example(s):
  • a Collaborative Filtering-based Recommendation Task.
  • a Content-based Recommendation Task.
  • movie recommendations based on historical preference data.
  • …
• Counter-Example(s):
  • a Heuristic Items Recommendation Task.
  • a Data-Driven Information Retrieval Task.
• See: Collaborative Filtering System.

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