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For the YowData conference, I'd like to present a recommender example. The Netflix prize dataset is well known, and a large amount of effort has been spent on getting results on this dataset. Good performance on this dataset would be impressive.
Recommender systems are often not thought about in terms of graphs. Therefore, posing this in a graph framework and solving it would be interesting. We can start by using node2vec to extract node embeddings and trying to predict the scores from this.
Done Checklist (Research)
Notes or slides on recommedations for movielens with node2vec
Code for recommendations for movielens with node2vec
The text was updated successfully, but these errors were encountered:
Description
For the YowData conference, I'd like to present a recommender example. The Netflix prize dataset is well known, and a large amount of effort has been spent on getting results on this dataset. Good performance on this dataset would be impressive.
Recommender systems are often not thought about in terms of graphs. Therefore, posing this in a graph framework and solving it would be interesting. We can start by using node2vec to extract node embeddings and trying to predict the scores from this.
Done Checklist (Research)
The text was updated successfully, but these errors were encountered: