Item Recommendation Task

An Item Recommendation Task is a Task that requires that one or more relevant Items to be presented to an Agent.

• AKA: Recommendation Task, Task of Item Recommendation, Recommending Relevant Items.
• Context:
  • Input: some history about past actions on the items.
    • Optional Input: the Integer Number of the number of items to recommend.
  • Output: a Ranked List of Items.
  • Performance Metric: proportion of times that the Agent will Act on the recommendations.
  • It can Rank Items based on Predicted Ratings.
  • It can be associated with an Item Recommendation Act by an Item Recommendation System (that implements an Item Recommendation Algorithm).
• Example(s):
  • Movie Recommendation Task.
• Counter-Example(s):
  • Information Filtering Task.
  • Information Retrieval Task.
• See: User Profile.

References

2009

• (Bogers, 2009) => Toine Bogers. (2009). "Recommender Systems for Social Bookmarking." PhD Thesis, Tilburg University.
  • ... More specifically, we want to investigate the task of item recommendation, where interesting and relevant items—bookmarks or scientific articles—are retrieved and recommended to the user, based on a variety of information sources about the user and the items. ... The main contribution of this thesis is a principled investigation of the usefulness of different algorithms and information sources for recommending relevant items to users of social bookmarking services. ... We show how prevalent these phenomena are, propose methods for automatically detecting them, and examine the influence they might have on the item recommendation task.