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Algorithm Arrogance at Facebook

2016-06-29 By knowlengr

Pope Paul V - wikipedia, portrait by Caravaggio | https://en.wikipedia.org/wiki/Pope_Paul_V#/media/File:Paul_V_Caravaggio.jpgPosted to a Marketplace report on the most recent content stream tweak by Facebook:

It’s algorithm arrogance. There are many data science specialists working at Facebook, but there is reason to believe the new stream tweaks will not improve appreciably. One reason: users have no way to designate content you *do not* want to see (perhaps ever). Another: Facebook search is so unfriendly that search is rarely used to discover what you *do* want to read. (It’s part of the ever-popular toilet paper roll user interface). In other words, there’s plenty of data but not enough of the right sort to improve personalized relevance. Sure, not everyone would use a recommendation / search facility, but for those who do, the results would improve. The data “science” folks have become so algorithm-arrogant that you’d be hard pressed to even find a resource to personalize and improve your feed — with more data.

Filed Under: Machine intelligence Tagged With: data science, Facebook, knowledge management, machine intelligence, recommendation engines

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