Local Latent Space Models for Top-N Recommendation-Reference-Cited by-同舟云学术

Local Latent Space Models for Top-N Recommendation

Published:2018-07-19 Issue: Volume: Page:
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Container-title:Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Christakopoulou Evangelia¹,Karypis George¹

Affiliation:

1. University of Minnesota, Minneapolis, MN, USA

Funder

Intel Software and Services Group

National Science Foundation

Digital Technology Center, University of Minnesota

Army Research Office

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3219819.3220112

Reference27 articles.

1. {n. d.}. Flixster Dataset. http://http://www.cs.sfu.ca/~sja25/personal/datasets/. ({n. d.}). {n. d.}. Flixster Dataset. http://http://www.cs.sfu.ca/~sja25/personal/datasets/. ({n. d.}).

2. Large-Scale Sparse Singular Value Computations

3. Beyond Globally Optimal

4. Local Item-Item Models For Top-N Recommendation

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