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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…
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## 💥 Proposal
A movie recommendation system, or a movie recommender system, is an Ml based approach for filtering or predicting the users’ film preferences based on their past choices and behavior.
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Context:
The current Tier system is excellent for identifying the importance of data assets based on downstream usage (right side of the data lineage). However, there’s a need for an additional tag t…
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Based on #2923, work together to review and come up with recommendations for system improvements.
Goals to shoot for:
* Increased query performance
* Store less data if possible
* Ability to scale to…
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1. 50k es documents
2. Do we need to clean them, if yes keep the required metadata only else skip
3. Create embeddings
4. Metric - Performance, Compute usage if any, etc...
5. have them on jupyt…
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Do you have any notebooks for the implementation of collaborative filtering based recommendation system?
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## **Content-based Filtering**
Content-based filtering uses **item features** to recommend other items similar to what the **user likes**, based on their previous actions or explicit feedback. Cons…
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We need to determine how much information about users are given to recommendation systems.
Currently users can provide personally identifying details such as their full name and e-mail address to t…
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- Workflow in Terms of when to generate and probably not only in show controller (not sure) and UI Fixes
- Caching and not generating until user / conference papers are updated
- Update of publicati…