apps vs. movies? How friendly is the UI? Is it easy to ﬁnd the Game of Thrones episode I want? Does inventory and pricing match up against other app stores like Apple and Amazon? Where else does the experience succeed and fail?
one of the similar apps. Would you want to buy it? Horrible suggestion. Never in a million years. I am not a teen girl, I have zero interest in celebs in real life, and I deﬁnitely don't want to simulate becoming one. I'd just watched an episode of the Walking Dead and decided to look for a game that would simulate the worldwide spread of a disease, if it could be combated, etc.
using genre or other features), and stop showing related books by different authors with the same name. 2. Penalize poorly rated books, or ratings that differ from the rating of the original. 3. Build series detectors, and only recommend related books that are the ﬁrst in the series (unless you’re recommending a follow-up to the target book).
got some big debt!” I'm so pumped about tasks from my work desk Transcription on the down low, it's so damn noisy Trying to make out people sayin', "Damn! That podcast's crazy!” Categorizin' ten layers deep, trying to get it right, Brain is startin' to keep me up all night Dreamin' about those apps, pennies raining down Probably need a break, they're all I can think about (Taskssssssss…) But shit, it paid ninety-nine cents! (Work it!)
compared to the internal raters they had been using for a while, our elite proletariat was • 7X cheaper • 5X faster • Higher quality: on 500 videos, their internal raters made 15 mistakes, compared to 3 mistakes by our workers (on their ﬁrst exposure to the task!)
couple days. • Need special languages? We can even handle esoteric languages like Thai and Icelandic. • Require speciﬁc types of workers? We can recruit whatever you need (e.g., Korean Android users who are also heavy Playstation players). • Have complex tasks? It’s one of our specialties. We have the full power of the human brain available, so we shouldn't be limited to labeling cat images. We can download apps and play them, write catchy descriptions, etc.
Google Play Music so you would think they would know what type of music to recommend to me. I would never listen to this horrible music. This is not a genre I ever listen to. It says Top selling song but I would rather have something personalized and recommended to ﬁt my tastes, not just a top seller.
numerous times. It was a good bet that I would like the ﬁle on my phone, and I would. I love the music and Youtube is the perfect place to determine what I would listen to, it is the only platform I use for streaming music.
so evaluations can help ﬁnd a bunch of examples of what your experiment is actually doing, what’s wrong, and why. Iterate faster on new features Launching new A/B tests can be slow, so human evaluation can provide a quicker feedback loop. Better launch decisions There’s no single perfect metric. By incorporating a complementary relevance score into every experiment, we can hopefully improve long-term user happiness. We can even try training models on such a score.