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laninh-tech/Smart-Recommendation-System

55

End-to-end recommendation system with deep learning, MLOps workflow, and analytics dashboard for ranking and serving.

What's novel

End-to-end recommendation system with deep learning, MLOps workflow, and analytics dashboard for ranking and serving.

Code Analysis

0 files read · 5 rounds

A movie recommendation system project that claims to implement Matrix Factorization and NCF models but whose core implementation logic is inaccessible for review.

Strengths

The project structure follows standard conventions with clear separation between data loading, model definition, training, and API inference modules.

Weaknesses

Unable to evaluate code quality, error handling, or algorithmic substance due to access restrictions preventing reading of the actual implementation files; no tests were visible.

Score Breakdown

Innovation
3 (25%)
Craft
47 (35%)
Traction
8 (15%)
Scope
63 (25%)

Signal breakdown

Innovation

Not Fork+1
Code Novelty+0
Concept Novelty+1

Craft

Ci+0
Tests+3
Polish+2
Releases+0
Has License+5
Code Quality+8
Readme Quality+12
Recent Activity+7
Structure Quality+5
Commit Consistency+0
Has Dependency Mgmt+5

Traction

Forks+0
Stars+6
Hn Points+0
Watchers+0
Early Traction+0
Devto Reactions+0
Community Contribs+2

Scope

Commits+3
Languages+8
Subsystems+13
Bloat Penalty+0
Completeness+7
Contributors+6
Authored Files+12
Readme Code Match+3
Architecture Depth+7
Implementation Depth+8

Evidence

Commits

6

Contributors

2

Files

74

Active weeks

2

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

1

Forks

0

License

MIT