https://github.com/absarraashid3/laughterlens

LaughterLens is a collaborative filtering-based recommendation system that predicts user preferences for jokes using cosine similarity. It provides personalized joke recommendations, evaluates performance with Mean Absolute Error, and compares results with a baseline random recommender system.

ai-applications collaborative-filtering cosine-similarity data-science jester-dataset joke-recommendation machine-learning mae-evaluation personalized-recommendations python recommendation-system user-based-filtering

Last synced: 29 Apr 2026