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Discover LudwigThe phrase "algorithmically driven" is correct and usable in written English.
It can be used to describe processes, systems, or decisions that are guided or influenced by algorithms.
Example: "The new software is algorithmically driven, allowing for more efficient data processing and analysis."
Alternatives: "algorithm-based" or "algorithm-guided".
Exact(27)
GSC is algorithmically driven and imperfect.
But this brings us to problematic trend #2: the unknowable omniscience of Google, Facebook and other algorithmically driven sites.
"A more algorithmically driven process allows us to scale Trending to cover more topics and make it available to more people globally over time".
— MICAH COHEN I'm not an everyday consumer of the Drudge Report Web site (I prefer Twitter and the algorithmically driven site Memorandum to meet my aggregation needs).
Mr Noonan says that SPSS's "secret sauce" lies in its ability to deal with missing or unreliable data, rather than the algorithms themselves.Above all, human judgment still has a role a point perhaps reinforced by the recent performance of algorithmically driven quantitative funds in the financial markets.
True story, before I came to appreciate that these were all highly algorithmically driven, I was in my 20's, I was taking a computer class, I saw two computers, they were both running random number of generators and they were generating the same random numbers.
Similar(33)
As a Pinterest user, content recommendations are driven algorithmically, and machine learning is used to parse through the billions of consumer interactions to deliver the right pin to the right user at the right time.
Although based on AngelList's API, these lists are more editorially driven than algorithmically derived, Percival notes.
Also editorially driven (rather than algorithmically curated), Live Stories sees Snapchat pull in the best photos and videos from an event or location over the previous 24 hours, and present them as a two- to three-minute reel for users to watch.
Moreover, without even the most rudimentary visibility into the trending algorithms that surface content in our increasingly algorithmically-driven social media platforms or insights into how a message is being driven, it is difficult for the targets of social campaigns to fight back.
Think of it as Twitter's recently launched 'who to follow' recommendation engine, only driven by regular users rather than algorithmically.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com