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## TL;DR
implicit recommend system
### Article Link
https://github.com/greenwolf-nsk/retailhero-rec
### Author
## Key Takeaways
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## Useful Code Snippets
```python
#Add your codes he…
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Music Recommendation System
This is yet another and one of the most popular machine learning projects and can be used across different spheres. You might be very familiar with a music recommendation …
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**G:** I have gone through the Github repos today and could successfully run 'ocr-grocery-parsing'. As a next step should I work on the improving this model or you have any other task for me.
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Hello Susan:
It was nice to follow your github and get in touch with so many good python applications and code. I am a Ph.D. student who is currently learning some basic python examples. I found your…
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How can i evaluate the book recommandation system?
Must i split the dataset into train and val or test set?
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Our grid system mainly exists to provide basic functionality and to mirror what govuk-frontend offers.
For something more complex we would expect a parent application to implement their own grid sy…
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Allow rating scenes, performers and studios with up to five stars. Recommend other scenes, performers and studios based on mine and other users ratings.
ghost updated
6 months ago
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Hello,
I am working on analyzing the DLRM(recommendation model) inference performance on CPUs. Recently, I found CPU performance optimization commits in the native pytorch. So, with the performanc…
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Create a system/algorithm that takes your types of beatmaps that you most play like stream maps or old maps and a specific artist, most played genre or year from maps like only playing maps from 2017 …
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### Hey 👋, I am a Hacktoberfest'23 contributor
## What ?
I'd like to introduce a movie recommendation model that suggests films by analyzing similar users, latent patterns, and movie attributes…