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http://www.springer.com/gp/book/9781493905294
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# 論文リンク
http://sis.eng.usf.edu/Papers/recsys19.pdf
公開日(yyyy/mm/dd)
2019/--/--
# 概要
- RecSys Best Paper at 2019
- 背景
- 悪意のあるプロフィールは、協調レコメンドシステムの脅威になっている
- 攻撃者は、自己の利益目的でプラットフォームを…
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Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking
FLAIRS Conference, 2019
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## Problem:
GTC Recommender was built through custom code and shortcuts. We would like to leverage Merlin to make the deployment of the GTC Recommender much more easily.
## Definition of Done
…
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Enhance the frontscreen of Tribler with content items in the form of thumbnails.
These items are recommended based on popularity in general and fit with your profile.
Suggested GUI text: "My updates: …
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## Meta
- Link: https://medium.com/pinterest-engineering/pinsage-a-new-graph-convolutional-neural-network-for-web-scale-recommender-systems-88795a107f48
- Author:
- Date:
## どんなもの?(3行ぐらいで)
…
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# Implementing Triplet Losses for Implicit Feedback Recommender Systems with R and Keras - Nan Xiao | 肖楠
[https://nanx.me/blog/post/triplet-loss-r-keras/](https://nanx.me/blog/post/triplet-loss-r-k…
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In GitLab by @hsheth2 on Sep 6, 2019, 22:48
It would probably be fairly easy to build a rudimentary recommender system to suggest classes that people with similar interests have also taken.
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Two project posts to be added on rcodi blog within two weeks. Ideas to follow. Recommender systems and OpenCV's project.
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Hi All,
Love the new design principles of the new mlr3. I just wanted to request a new learner. The package `rsparse` (https://github.com/dselivanov/rsparse) is a pretty fast robust package that enab…