corpus.blog
41,554 blogs · 4,981,167 posts Claim your blog
Record · corpus.blog/posts/01a087db-d940-738c-9e1e-54d722e94fb9

How E-commerce recommenders work, Related Products

satyagupte.github.io · published 11 September 2024

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at satyagupte.github.io Wayback capture
0blogs citing
First cited
—
Most recent
—
Rank this month
not ranked
External links
13
Words captured
3,581

Cited by

No blog we hold has cited this post yet.

Links from this post

Link
Host
https://arxiv.org/pdf/1411.2738
arxiv.org
https://web.stanford.edu/class/cs224w/
web.stanford.edu
https://web.stanford.edu/class/cs224w/slides/03-GNN1.pdf
web.stanford.edu
https://medium.com/pinterest-engineering/pinsage-a-new-graph-convolutional-neural-network-for-web-scale-recommender-systems-88795a107f48
medium.com
https://www.cs.umd.edu/~samir/498/Amazon-Recommendations.pdf
cs.umd.edu
https://www.amazon.science/the-history-of-amazons-recommendation-algorithm
amazon.science
https://arxiv.org/vc/arxiv/papers/1603/1603.04259v2.pdf
arxiv.org
https://jalammar.github.io/illustrated-word2vec/
jalammar.github.io
https://www.uber.com/en-IN/blog/uber-eats-graph-learning/
uber.com
https://arxiv.org/abs/1706.02216
arxiv.org
https://arxiv.org/pdf/1806.01973
arxiv.org
https://assets.amazon.science/d6/56/d03a00d14fd39c3486614e611e51/recommending-related-products-using-graph-neural-networks-in-directed-graphs.pdf
assets.amazon.science
https://arxiv.org/pdf/1911.10232
arxiv.org
Elsewhere on satyagupte.github.io (6)