What's interesting about a by-the-numbers account of Flappy Bird's success is how starkly apparent the weaknesses of the app store model of surfacing and distributing apps seem to be in retrospect. Think about it: the app store organizes apps almost exactly like web directories organized websites in the 90's -- there are human-curated catalogs, and a single store acts as a directory for essentially all known apps. It…
Discovery in general is still a pretty knotty problem. Even Netflix, which has a relatively small pool of things to sort through, doesn't do a particularly good job of it. It often recommends things I have no interest in whatsoever, and conversely never recommends things I very much want to watch but have to find manually. It's practical to manually sort as a Netflix customer precisely because their pool is relativel…
I see this message repeated by a lot of tech people, but I feel like I get fairly good recommendations. Am I alone?
What is it about the recommendations that seem bad? Is it because you know there is better content there but the metadata has somehow not categorized it properly for cross-referencing, or does it seem more like it's guessing from a shallow pool and trying to bubble up whatever content it can find, even if it's not a great match?
Is there any kind of open source recommendation framework or standard? Couldn't Netflix publish the details of its algorithm, including which metrics it has, to help the community think up more ways to analyze? The value in Netflix right now is in the content, not in the recommendation engine.
Looks like the competition Netflix used to host was ended in 2009... would be great if they started it again: http://www.netflixprize.com