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To implement collaborative filtering or content-based filtering in your Next.js and MongoDB-based project, you can follow these general steps:
Gather and store data on users and their interactions …
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Just wanted to say thanks for this good library, please keep updating it 👍
Can you maybe include latest recommender algorithms like time dependency matrix factorization?
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## Chapter8 Collaborative filtering in the neighborhood
### 8.4 Amazon's algorithm to precalculate item similarity
Sim("MIB", "ST") was 0.016 with the following calculation .
However, in the …
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This issue is made to establish the main structure of the models to be implemented.
Note: keep in mind that data has to cover the three main Recos intended to be developed.
- Decide the type of ma…
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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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Now I'm starting my homework: ALS(alternative least squares), Linear Logistic Regression.
As I think, first thing to do is understanding what ALS algorithm is.
During web-searching, I found a easy-to…
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I have following enhancement suggestions. By incorporating these suggestions, Twitter's recommendation system can be significantly enhanced to deliver more engaging and relevant content to users.
1…
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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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- [ ] lofi music gen : web / ml / sound / useful
- [ ] compile fft project to webassembly : web / sound / signal processing
- [ ] twitch chat excitement sentiment based auto clip suggestions: web / …
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## Why do I successfully run the app, but the top recommendation list is always blank? (I currently have two users, both with roughly the same movies and ratings.)
__I am looking forward to your repl…