{"id":23444849,"url":"https://github.com/tutortoise/system-recommender-service","last_synced_at":"2025-04-09T23:28:19.250Z","repository":{"id":264376715,"uuid":"882710339","full_name":"Tutortoise/system-recommender-service","owner":"Tutortoise","description":"Sysrec for finding the most suit tutor","archived":false,"fork":false,"pushed_at":"2024-12-11T03:15:10.000Z","size":1292,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-15T14:53:07.801Z","etag":null,"topics":["hybrid-recommender-system","vowpalwabbit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Tutortoise.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-03T15:01:48.000Z","updated_at":"2024-12-11T04:48:45.000Z","dependencies_parsed_at":"2024-11-23T22:45:14.932Z","dependency_job_id":null,"html_url":"https://github.com/Tutortoise/system-recommender-service","commit_stats":null,"previous_names":["tutortoise/system-recommender-service"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tutortoise%2Fsystem-recommender-service","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tutortoise%2Fsystem-recommender-service/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tutortoise%2Fsystem-recommender-service/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tutortoise%2Fsystem-recommender-service/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Tutortoise","download_url":"https://codeload.github.com/Tutortoise/system-recommender-service/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248128490,"owners_count":21052417,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["hybrid-recommender-system","vowpalwabbit"],"created_at":"2024-12-23T19:19:21.328Z","updated_at":"2025-04-09T23:28:19.224Z","avatar_url":"https://github.com/Tutortoise.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tutortoise Recommender System\n\n![](./service_architecture.jpg)\n\nA real-time recommendation system (Online Learning) for tutories based on user interactions and preferences. The system uses a hybrid approach combining collaborative filtering, content-based filtering, and location-based matching to provide personalized recommendations.\n\n## Features\n\n- Real-time recommendation updates based on user interactions\n- Text similarity using GloVe embeddings\n- Location-based matching\n- Learning style compatibility\n- Dynamic price and rating considerations\n- High-performance ASGI server with Granian\n\n## Environment Variables\n\n```env\n# Database Settings\nPOSTGRES_USER=postgres\nPOSTGRES_PASSWORD=postgres\nPOSTGRES_DB=postgres\nPOSTGRES_HOST=localhost\nPOSTGRES_PORT=5432\n\n# Service Settings\nSERVICE_PORT=8000\nSERVICE_HOST=0.0.0.0\n\n# Model Settings\nMODEL_UPDATE_INTERVAL=21600  # Model update interval in seconds\nINTERACTION_WEIGHT=0.3       # Weight for user interactions\nCLEANUP_INTERVAL=3600       # Cleanup interval for old interactions in seconds\n\n# Granian Server Settings\nGRANIAN_HOST=0.0.0.0\nGRANIAN_PORT=8000\nGRANIAN_INTERFACE=asgi\nGRANIAN_WORKERS_PER_CORE=2\nGRANIAN_MAX_WORKERS=4\nGRANIAN_MIN_WORKERS=2\nGRANIAN_HTTP=auto\nGRANIAN_BACKLOG=1024\nGRANIAN_LOG_LEVEL=info\nGRANIAN_LOG_ACCESS_ENABLED=true\nGRANIAN_THREADING_MODE=workers\nGRANIAN_LOOP=auto\nGRANIAN_HTTP1_KEEP_ALIVE=true\n```\n\n## API Endpoints\n\n### GET /recommendations/{learner_id}\n\nGet personalized recommendations for a user.\n\n- Query Parameters:\n  - `top_k` (int, default=5): Number of recommendations to return\n  - `strict` (bool, default=false): Whether to require exact number of recommendations\n\n### GET /interaction/{learner_id}/{tutories_id}\n\nTrack user interaction with a tutory.\n\n### POST /model/update\n\nManually trigger model update.\n\n### POST /model/reset\n\nReset model state and clear caches.\n\n### GET /model/status\n\nGet current model status and statistics.\n\n### GET /health\n\nCheck service health status.\n\n## Running with Docker\n\nBuild:\n\n```bash\ndocker build -t recommender:latest .\n```\n\nRun:\n\n```bash\ndocker run -d \\\n  --name recommender \\\n  -p 8000:8000 \\\n  -e POSTGRES_HOST=host.docker.internal \\\n  -e POSTGRES_PORT=5432 \\\n  -e POSTGRES_USER=postgres \\\n  -e POSTGRES_PASSWORD=postgres \\\n  -e POSTGRES_DB=postgres \\\n  -e GRANIAN_WORKERS_PER_CORE=2 \\\n  -e GRANIAN_MAX_WORKERS=4 \\\n  -e GRANIAN_LOG_LEVEL=info \\\n  recommender:latest\n```\n\n## Server Configuration\n\n### Workers\n\nThe number of workers is calculated based on:\n\n- Workers per CPU core (`GRANIAN_WORKERS_PER_CORE`)\n- Maximum workers (`GRANIAN_MAX_WORKERS`)\n- Minimum workers (`GRANIAN_MIN_WORKERS`)\n\nFormula: `min(max(CPU_CORES * WORKERS_PER_CORE, MIN_WORKERS), MAX_WORKERS)`\n\n### Performance Tuning\n\n- `GRANIAN_BACKLOG`: Connection queue size (default: 1024)\n- `GRANIAN_THREADING_MODE`: Worker threading mode (default: workers)\n- `GRANIAN_LOOP`: Event loop implementation (default: auto)\n- `GRANIAN_HTTP`: HTTP version (auto, h11, h2)\n\n## Dependencies\n\n- FastAPI\n- VowpalWabbit\n- Granian\n- PostgreSQL (asyncpg)\n- NumPy\n- GloVe embeddings (Manually converted to NumPy format)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftutortoise%2Fsystem-recommender-service","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftutortoise%2Fsystem-recommender-service","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftutortoise%2Fsystem-recommender-service/lists"}