Updated Evaluation Metrics Score and Model Results #338
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T-6 : Personal Learning Path Visualization Dashboard
T6 - Personal Learning Path Visualization Dashboard
Added Graph-Based Recommendation Engine with Learner Profiles and Concept Graph JSONs - Implemented Dijkstra-based recommendation logic - Included concept_graph.json and learner_profiles.json - Generated sample personalized recommendations - Structured files under project-gamma/graph
…m-bhavitha-graphrec Add files via upload
…m-bhavitha-graphrec Final: Personalized Learning Recommendation Engine
…ashboard Create README.md
…am-nishita-dashboard Team nishita dashboard
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…shboard Initial project setup with authentication
…shboard feat: signup and login pages with a TODO dashboard page
- Added comprehensive README.md explaining JSON schema for graph nodes - Included example_concepts.json with sample data structure - Added schema.json for JSON schema validation - Documentation covers concept relationships, prerequisites, and validation rules
…schema-documentation Add graph schema documentation
…evert-138-add-graph-schema-documentation Revert "Add graph schema documentation"
…eam-Saideepak-Recommendation Team saideepak recommendation
…recommendation translations in multiple languages added
Merging team-bhavitha-dsarecommender from team branch
added take quiz button
updated the files
readme file main branch
Tried following evaluation prediction results of 4 models 1. Pass@K 2. BERT 3. Meteor 4. Taxonomy Distance - BFS and Resnik Based
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Tried following evaluation prediction results of 4 models