https://github.com/aashish75/recommend-ncf
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (2.3%) to scientific vocabulary
Last synced: 9 months ago
·
JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: Aashish75
- Language: Jupyter Notebook
- Default Branch: main
- Size: 10.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
README.md
Movie recommendation system that combines candidate generation using FAISS (a fast similarity search library) and ranking using Neural Collaborative Filtering (NCF).
The goal is to generate personalized movie recommendations for users based on their past interactions.
Dataset - MovieLens 100K
Owner
- Name: Aashish M
- Login: Aashish75
- Kind: user
- Repositories: 1
- Profile: https://github.com/Aashish75
I code
GitHub Events
Total
- Push event: 2
- Create event: 2
Last Year
- Push event: 2
- Create event: 2