A guide to customizing the spinner text in Claude Code AI with personal, meaningful verbs from books, movies, and life.
A developer documents the first steps in building a personalized content recommendation system using saved articles, text embeddings, and algorithms.
Puzzmo details a new dynamic layout algorithm for its homepage, prioritizing games based on user play history and content variety.
A summary of a talk on applying Large Language Models (LLMs) to build and deploy recommendation systems at scale, presented at Netflix's PRS workshop.
Puzzmo introduces a redesigned game completion screen, prioritizing personal play history and deemphasizing global competition to improve user experience.
Analyzes push notifications as a recommender system, discussing intent, personalization, timeliness, and user engagement challenges.
Explores machine learning patterns like bandits, sequential, and graph-based models for personalizing recommendations and search results.
Argues against personal dashboards in modern web design, citing information overload and user preference for focused, task-specific interfaces.
