Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
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Best Practices on Recommendation Systems
Source code for Twitter's Recommendation Algorithm
A Python scikit for building and analyzing recommender systems
A Python implementation of LightFM, a hybrid recommendation algorithm.
A unified, comprehensive and efficient recommendation library
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.
:movie_camera: Everything about your movies within the command line.
TranslatedMcDonald's meal pairing decision Skill | Computes the top three optimal choices out of 1881 combinations, and tells you why they are not the others. Calorie control, dietary restrictions, and max-min fair allocation for group orders; the LLM does not take part in calculating money, and every number is traceable.
A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.
TranslatedVRS Application Recommendation System (志愿 "zhiyuan", college application choices): FastAPI + Neo4j + DeepSeek, with Zhejiang gaokao (college entrance exam) historical data as an example, including Excel data templates.
⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.