YouTube Platform Mechanics
Search, browse, suggested. Metadata, packaging basics (titles + thumbnails), how distribution actually works.
- Lectures
- 8
- Total runtime
- 1h 49m
- Attendance minimum
- 55 min
- Prerequisites
- None
Lecture Playlist
Ordered as a teaching progression, not by popularity. Attendance is recorded once half of a lecture has been watched.
- INFO2040X mod4 kleinberg why is search hard v1 Why search is a ranking problem: information need, query, abundance 8 min Attended
- Recommender Systems How recommendation engines generate candidates: content-based vs. collaborative filtering 14 min Attended
- Behind the Algorithms - How Search and Discovery Works on YouTube YouTube's own account: what Home and Suggested optimize for 12 min Attended
- "Did YouTube Recently Change the Algorithm?" 5 of YOUR Search and Discovery Questions Answered! What the system does and does not do: off-platform sharing, old videos resurfacing, tags, and "did the algorithm change?" 6 min Attended
- What Do People Search to Find You? | Channel Checkup ft. Mike Boyd Metadata and search intent applied to a real channel 10 min Attended
- Titles & Thumbnails Packaging basics: searchable vs. intriguing titles, thumbnail design, reading CTR 7 min Attended
- A deep thumbnail discussion with Chucky (MrBeast) and Todd (YouTube Algorithm) Packaging at professional depth: idea, title, thumbnail, and the intro that pays them off 47 min Attended
- Practicum · working creator Why The YouTube Algorithm Will Always Be A Mystery A working creator explains why no one can hand him a list of ranking factors: Lecture 2's learned recommender turns out to be the reason Lecture 4's "did the algorithm change?" question has no satisfying answer, and the reason keyword-stuffing survives as folklore long after it stopped describing anything 5 min Attended
Every course reserves one practicum seat, listed last and marked P. It is filled by someone who has shipped the work — here, Tom Scott — because the university lectures establish why something works and the practicum shows it being done under real constraints.