Item Recommendations Benchmark Task: Difference between revisions
Jump to navigation
Jump to search
(Created page with "An Item Recommendations Benchmark Task is a benchmark prediction task that is an item(s) recommendation task. * <B>Example(s):</B> ** Netflix Prize Task. * <B>...") |
No edit summary |
||
| Line 4: | Line 4: | ||
* <B>See:</B> [[KONNECT]], [[Item Relevance Ranking]]. | * <B>See:</B> [[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]]). “[https://arxiv.org/pdf/1806.01973 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 network]]s for [[graph-structured data]] have led to [[state-of-the-art performance]] on [[recommender system benchmark]]s. </s> ... | |||
---- | ---- | ||
[[Category:Concept]] | [[Category:Concept]] | ||
Revision as of 18:44, 12 February 2020
An Item Recommendations Benchmark Task is a benchmark prediction task that is an item(s) recommendation task.
- Example(s):
- 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. ...