Matrix Factorization-based Item Recommendation Task

A Matrix Factorization-based Item Recommendation Task is an items recommendation task that requires the application of a matrix factorization algorithm.

• Context:
  • It can be implemented by a Matrix Factorization-based Recommendation System.
• Example(s):
  • a Matrix Factorization-based Collaborative Filtering Algorithm.
  • …
• Counter-Example(s):
  • Deep Neural Network-based Recommendation Task.
• See: Domain Specific Recommendation Task, Algorithm-Specific Task.

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References

2010

• (Jamali & Ester, 2010) ⇒ Mohsen Jamali, and Martin Ester. (2010). “A Matrix Factorization Technique with Trust Propagation for Recommendation in Social Networks.” In: Proceedings of the fourth ACM conference on Recommender systems, pp. 135-142 . ACM,

2009

• (Koren et al., 2009) ⇒ Yehuda Koren, Robert Bell, and Chris Volinsky. (2009). “Matrix Factorization Techniques for Recommender Systems.” Computer 42, no. 8

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