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Several of us have had the idea of building a recommender system on top of the data gathered by moves. To do this right is complicated, and requires integration with a number of different APIs.
Howev…
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I want to enhance this project by enriching it with much bigger dataset and want to train it again .
Kindly issue this to me
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Use the mean for a user who is not logged in and use user preferences based on history for logged in users
Meanwhile use a random function from the list of restaurants listed by the api
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**Team Members:**
* Nirajan Prajapati
* Nirjal Prajapati
* Rohit Prajapati
* Sahas Prajapati
**References:**
[Recommender System : Wikipedia](https://en.wikipedia.org/wiki/Recommender_system)
…
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https://link.springer.com/chapter/10.1007/978-0-387-85820-3_3
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Hello,
I am working on a project and we want to use recsim to understand how RL agents on recommender systems work. We created a new environment based on our business case and applied the full-slat…
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**Is your feature request related to a problem? Please describe.**
Since we need a recommender system, it would be best to use Matrix Factorization.
I would like to work on this. Please assign the…
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https://arxiv.org/abs/1606.07792
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ML-20m with DDPG: https://towardsdatascience.com/reinforcement-learning-ddpg-and-td3-for-news-recommendation-d3cddec26011
sporitfy : https://towardsdatascience.com/recommendation-system-with-reinforc…
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https://github.com/vimalsubbiah7/Music-Recommender-System/blob/8945634f33e6817d4bdb9f1c2d19dc57a8d0c0d2/Model.py#L1