Item Recommendations Benchmark Task

An Item Recommendations Benchmark Task is a benchmark prediction task that is an item(s) recommendation task.

• Example(s):
  • Netflix Prize Task.
• See: KONNECT, Item Relevance Ranking.

---

---

References

2018

• (Ying et al., 2018) ⇒ [[::Rex Ying]], [[::Ruining He]], [[::Kaifeng Chen]], [[::Pong Eksombatchai]], [[::William L Hamilton]], and [[::Jure Leskovec]]. ([[::2018]]). “Graph Convolutional Neural Networks for Web-scale Recommender Systems.” In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining.
  • QUOTE: ... Recent advancements in deep neural networks for graph-structured data have led to state-of-the-art performance on recommender system benchmarks. ...

---