Complementary Item Recommendations Task

A Complementary Item Recommendations Task is an anchor-based item recommendation task that ranks complementary items to an anchor item.

• Context:
  • It can be solved by a Complementary Recommendation System (that implements an complementary recommendation algorithm).
  • …
• Example(s):
  • a Complementary-Product Recommendation Task.
  • a Complementary-Medicine Recommendation Task.
  • …
• Counter-Example(s):
  • a Substitute Recommendation Task.
• See: Complementary Recommender.

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References

2015

• (McAuley et al., 2015a) ⇒ Julian McAuley, Rahul Pandey, and Jure Leskovec. (2015). “Inferring Networks of Substitutable and Complementary Products.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783381
  • QUOTE: ... To design a useful recommender system, it is important to understand how products relate to each other. For example, while a user is browsing mobile phones, it might make sense to recommend other phones, but once they buy a phone, we might instead want to recommend batteries, cases, or chargers. In economics, these two types of recommendations are referred to as substitutes and complements: substitutes are products that can be purchased instead of each other, while complements are products that can be purchased in addition to each other. Such relationships are essential as they help us to identify items that are relevant to a user's search. …

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