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YowData: Investigate NetFlix prediction using N2V #19

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adocherty opened this issue Apr 23, 2018 · 1 comment
Closed
2 tasks done

YowData: Investigate NetFlix prediction using N2V #19

adocherty opened this issue Apr 23, 2018 · 1 comment
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@adocherty
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adocherty commented Apr 23, 2018

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)

  • Notes or slides on recommedations for movielens with node2vec
  • Code for recommendations for movielens with node2vec
@adocherty adocherty reopened this Apr 23, 2018
@adocherty adocherty self-assigned this Apr 23, 2018
@arc0 arc0 added this to the Sprint 2 milestone Apr 23, 2018
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Note I've changed the dataset target to the Movielens datasets as it has multiple sizes and also has movie and user features.

@arc0 arc0 modified the milestones: Sprint 2, Sprint 3 May 7, 2018
@arc0 arc0 closed this as completed May 21, 2018
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