-
https://dl.acm.org/citation.cfm?id=3313463
-
https://lirias.kuleuven.be/bitstream/123456789/476545/1/TEL_RecSys.pdf
-
I've watched your presentation on Youtube and noticed that no graph-based recommender systems are tested. So have you ever tried the BD framework on GNN recommender systems? If so, could you tell me t…
-
## 🚀 Feature
Can kgcn be used as an example of a recommendation system?
Examples of recommendation systems are few.
KGCN involves neighbor sampling, which is a good example of Nodeflow.
It's als…
-
https://www.kaggle.com/code/yldzburhan/books-collaborative-filtering
https://www.kaggle.com/datasets/zygmunt/goodbooks-10k/data?select=tags.csv
https://www.kaggle.com/datasets/jealousleopard/goodrea…
-
## 一言でいうと
Graph Convolutionをプロダクションレベル(30億ノード！)で使用したという金字塔的な論文(Pinterestで使われている)。グラフサイズが膨大なので近傍ノードをサンプリング(ランダムウォーク)で収集しており、収集はCPU・畳み込みはGPUで役割分担しMapReduceで分散処理して高速化している。
### 論文リンク
https://arxi…
-
http://stupidjoey.net/2018-10-07-Wide-And-Deep-Learning-for-Recommender-Systems.html
Wide & Deep Learning for Recommender Systems 论文整理
-
# Serendipity: Accuracy’s Unpopular Best Friend in Recommenders
What I learned about measuring diversity, novelty, surprise, and serendipity from 10+ papers.
[https://eugeneyan.com/writing/serendipi…
-
Hello! I want the data set from your paper -- The effect of algorithmic bias on recommender systems for massive open online courses.I would appreciate it if you could send it to me.
-
Migrated from json into utteranc.es