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I'm not sure how we would go about doing this, but maybe we could partner up with a local school and create some interesting insights/dashboards for teachers and/or students (thinking out loud here):
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https://cseweb.ucsd.edu/~jmcauley/datasets.html#amazon_reviews
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Hello, Recently, I am trying to implement paper [Recurrent Collaborative Filtering for Unifying General and Sequential Recommender](https://www.ijcai.org/proceedings/2018/0465.pdf) with pytorch. By a…
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Hello,
I am currently working on developing a recommender system for internal customers and have found this framework to be a great tool to start with. As a beginner in the field of recommender sys…
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# 推薦システムに関する記事をスクラップする
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Dear authors,
I wanted to reach out and let you know that I found your works on negative sampling for recommender systems incredibly helpful for my own research on the same topic. However, I did en…
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Hi @haydenliu
Hi Dr. Yuxi
This is Orlando. One of your readers. First I want to thank you for be part of the redaction of the book Python Machine Learning By examples Built intelligence systems…
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wondering why the ratings are all set to 1 in the dataset as implicit scenario. Thanks!
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### 🚀 The feature, motivation and pitch
Hello,
First and foremost, I apologize for potentially misplacing this issue in the wrong section.
When working with the negative sampling part and the neces…
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### Describe the feature and motivation
Approximate nearest-neighbor search is very important research and development area of today's AI technologies. Besides computer vision (e.g. in face or scen…