Collaborative Filtering and LLM Agents: From Movie Similarity to Search and Memory Tools | Stanford CS124 Week 9
Week 9 teaches recommender systems: content-based recommendation looks at the features of items, while collaborative filtering looks only at the ratings matrix and estimates unrated items from similar users or similar items. PA7 writes item-item collaborative filtering as a function and hands it to an LLM agent that makes tool calls, then adds ticket booking, web search and memory.