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Hey LGM-SOC / DCP participant, great to have you here! 😀
If you feel like working on this issue, you may refer to this [dataset](https://www.kaggle.com/keshavramaiah/hotel-recommendation) or any othe…
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Food Recommendation System using Unsupervised Learning and Matrix Factorisation
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This page gives an example using Throw system.exception, while [this page](https://learn.microsoft.com/en-us/dotnet/csharp/fundamentals/exceptions/creating-and-throwing-exceptions?source=recommendat…
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There are various aspects of the recommendation algorithm (#67) that can be improved. This issue is to log them.
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Traditional recommendation system based on the user rating on the similar items.
So, we can predict the user rating on an unrated item based on the his rates with the similar items.
source : htt…
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Hi Sebastian,
Thanks for your wonderful repository/website. I found there is no benchmark/dataset for **Recommendation systems** which absolutely is an important task in NLP/IR.
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mct96 updated
2 years ago
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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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- do some machine learning algorithm to make recommendations for each user based on their measurement (emotion and selected scenario)
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[Recommendation systems for software engineering](http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5235134) (2010, 45)
[Text mining stackoverflow: an insight into challenges and subject-related d…