![]() Thank you to those who pointed it out to me. Update: In my original post, I unknowingly used an offensive word unfit for usage. Petrova put up the code and data, in case you want to dig into it. Maybe the decreasing average review really is related to Covid-19 symptoms. Maybe new scented candles customers have unrealistic expectations of what candles smell like. Maybe there was a shortage of some scented ingredient, which led to less potent candles. What do we see with other candles? Maybe a higher demand for scented candles from more people staying at home put a strain on the manufacturer. For example, Petrova only looked at reviews for the “top 3” scented candles. I’m imagining a bunch of people opening their new scented candles, taking a big whiff, and not smelling anything.īut I wonder if there are outside forces (a.k.a. ![]() Notice the downward trend for scented candles after the first confirmed case for Covid-19. Prompted by a tweet about scented candles without smell and Covid-19, Kate Petrova plotted Amazon reviews for scented and unscented candles over time. Face Mask Template SVG, 4 Shapes Sublimation PNG, Laser Dxf Cut File Digital Download INSTANT DOWNLOAD YOU WILL RECEIVE: ZIP file which includes SVG, EPS, PNG, DXF, PDF files. Whether that’s good in the long run is anyone’s guess. ![]() But one thing that is for sure is that the system knows how to serve up videos that one might find interesting. In a unique sort of chicken and egg problem, the very types of video that TikTok’s algorithm needed to train on weren’t easy to create without the app’s camera tools and filters, licensed music clips, etc.Īt first I was confused by TikTok. lip synching to each other, such data didn’t exist. Where could you find short videos of memes, kids dancing and lip synching, pets looking adorable, influencers pushing brands, soldiers running through obstacle courses, kids impersonating brands, and on and on? Even if you had such videos, where could you find comparable data on how the general population felt about such videos? Outside of Musical.ly’s dataset, which consisted mostly of teen girls in the U.S. Eugene Wei looks closer at the algorithms that drive TikTok and how its design provided an effective feedback loop:īut for TikTok (or Douyin, its Chinese clone), who needed an algorithm that would excel at recommending short videos to viewers, no such massive publicly available training dataset existed. ![]()
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