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It's interesting reading this story, if I were in the author's place, I would have felt embarrassed to admit this point. Like our company isn't technically adep
by swang 14y ago
It's interesting reading this story, if I were in the author's place, I would have felt embarrassed to admit this point. Like our company isn't technically adept enough to implement a recommender.
- benmanns 14y agoTechnically adept or not, his human-based recommender was so good that the CEO and VP of a 'hugely funded' online music company were willing to fly all the way from SV to NYC to hear about it.
- danielharan 14y agoVery few companies are adept enough to do so. Sure, implementing a similarity metric is easy. Scaling is a bit harder. How do you optimize? Are people clicking on the links? Are they buying? How many even know they should be optimizing for those metrics, let alone consciously addressing more advanced trade-offs of LTV vs short-term sales? Even worse, with less data there are more problems with every class of algorithm.
- vidar 14y agoThe point is not be technically proficient, but to create a good business. The best business is not always the best technically. (This point is often painful for programmers with a limited world view).