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"algorithmic recommendations" is a grammatically correct phrase that is commonly used in written English.
It refers to suggestions or advice generated by a computer algorithm, often used in the context of technology, e-commerce, and social media. Example: "With the rise of artificial intelligence, users are now bombarded with algorithmic recommendations on their newsfeeds, tailored to their interests and behaviors."
Exact(19)
Warehouses are "fulfillment centers," algorithmic recommendations are "personalization".
Its current focus is on "discover", which introduces listeners to music via Spotify Radio, curated playlists and algorithmic recommendations.
Hence the unstoppable march of algorithmic recommendations, machine learning, artificial intelligence and big data into the cultural sphere.
When it comes to algorithmic recommendations and discovery, there's a trust issue.
Discover Weekly is similar, though it's just algorithmic recommendations, and only updated weekly.
Algorithmic recommendations do all the work, and in doing so suck out much of the joy of the unexpected.
Similar(41)
The feed is majority algorithmic recommendation, with human choices comprising around three stories per day — as 'anti filter bubble picks' — vs around 12 machine selected daily picks.
A purely algorithmic recommendation system is not something in Blendle's "near future", he says adding: "Human curation will remain a core component.
We can always use more transparency from algorithmic recommendation systems, so it's good to see Google peeling back the curtain a bit on Instant Mix.
It has evolved from an initial human-only in-app gig curation to a blend of human and algorithmic recommendation to try to crack the new (live) music discovery problem at scale.
Netflix, in its attempts to create an all-knowing algorithmic recommendation machine, has done away with demographic information like gender.
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