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 Benchmark.
  • MovieLens Benchmark.
• See: KONNECT, Item Relevance Ranking.

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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. …

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