Recommendation Systems
MK and
Recommendation Systems
Aforza Consumer Goods Cloud | Grow Confidently in Uncertain Times
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as a network scales, it is inevitable that you need a way to sort & rank content.
web 2.0 solved it by ranking for popularity but a better approach could be to have a minimal quality threshold but not to try to rank things above that - so the search is not maximization-driven and leaves more room for serendipity.
h/t ken stanley
How TikTok recommends videos #ForYou
newsroom.tiktok.com- · Are we being reprogrammed by algorithms? In the last edition, I mentioned a recent tweet-er-xeet post by Twitter founder Jack Dorsey. Jack suggested that we should all be able to choose the algorithm that controls our timelines across social media products. But the underlying premise is more interesting: As social algorithms get far more
Reprogramming Humanity’s Primal Instincts & What We Learn From A Future “History of Tech” Class
Today most algorithms that recommend or suppress content act purely on the basis of inferred popularity. They look at how much time people spend engaging with a piece of content, and boost it to more people if the numbers look good. The content itself is almost purely a black box. Some algorithms try to classify content with tags like “food” or
... See moreNathan Baschez • Noise-Canceling Filters for the Internet are Coming
Premium Recommendation Engine | Crossing Minds
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