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In the example of producing movie recommendations for a set of users, given that we are interested in making online-predictions, I would assume that re-training of the model would take place maybe onc…
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- [x] Store username and integrate into results page
- [x] Design output and display with incorporated username
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Acceptance Criteria: A recommendations engine that can be filtered according to what the user desires.
Asking chat for extra varibles similar to genre:
Certainly! Here are a few filter variables…
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### Description
The last element of the first movie recommendations' page is the same of the next pagination. Root cause is the TMDB API's response.
There are two ways to solve this:
1. return a …
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I tested Q19a query of JOB benchmark in the latest PG17beta1 version. I found the following problems which indicate that hints cannot totally force the decisions of optimizer and optimizer will not fo…
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This causes me anxiety. 😅
![Screenshot 2024-06-11 at 10 33 09 AM](https://github.com/Aiven-Labs/pgvector-tensorflow-movie-recommendations-workshop/assets/332535/fcb6a069-ca69-49f5-894a-d2a4dc7f90d…
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How to give recommendation to a certain user using content based model ? U have given recommendation using movie titles
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**Stremio Version**
All versions and platforms
**Is your feature request related to a problem? Please describe.**
Currently it is not possible to track playback progress or watch status of Stremi…
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Hi I get an error at 53..27 .
1 new['tag'] = new['tag'].apply(lambda x: " ".join(x))
TypeError: can only join an iterable.
[Movie_recommendation system.pdf](https://github.com/campusx-official…
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Recommendations should include:
Movie
Book
Cocktail