Facebook has apparently replaced EdgeRank with something much more complex

Gigaom

The three factors that used to influence Facebook’s (s fb) EdgeRank system — affinity, weight and decay — now comprise about 0.00003 percent of the total factors considered, according to a story published Friday on MarketingLand. EdgeRank was the system used to determine what shows up on users’ news feeds, but the company has replaced it with a machine-learning-based approach that takes into account about 100,000 factors.

The post goes on to list numerous new ways in which Facebook determines what to surface, including things like the type of post that it is and what type of device someone is using. Affinity, weight and decay are still important, it quotes Facebook News Feed Engineering Manager Lars Backstrom as saying, but there just a whole lot more facets and even a lot of subcategories for the original big three factors.

The MarketingLand report follows on the heels of a Facebook…

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