#RecommendationEngine

@marketingnews.bsky.social

1 month ago

Criteo's AI shopping service outperforms text-based rivals by 60% as commerce data trumps semantic matching Criteo introduces commerce-grade recommendation infrastructure for AI shopping assistants, achieving 60% relevancy gains through transaction data versus product descriptions alone.

Criteo's AI shopping service outperforms text-based rivals by 60% as commerce data trumps semantic matching #AI #Ecommerce #Shopping #Criteo #RecommendationEngine

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PPC Land

@ppc.land

1 month ago

Criteo's AI shopping service outperforms text-based rivals by 60% as commerce data trumps semantic matching Criteo introduces commerce-grade recommendation infrastructure for AI shopping assistants, achieving 60% relevancy gains through transaction data versus product descriptions alone.

Criteo's AI shopping service outperforms text-based rivals by 60% as commerce data trumps semantic matching #AI #Ecommerce #Shopping #Criteo #RecommendationEngine

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Marketing News

@marketingnews.bsky.social

1 month ago

X exposes algorithm secrets X open sources Grok-powered recommendation algorithm revealing engagement scoring mechanics, verification advantages, and 30-minute velocity windows for brands.

X exposes algorithm secrets #AlgorithmSecrets #OpenSource #RecommendationEngine #EngagementScoring #DigitalMarketing

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PPC Land

@ppc.land

1 month ago

X exposes algorithm secrets X open sources Grok-powered recommendation algorithm revealing engagement scoring mechanics, verification advantages, and 30-minute velocity windows for brands.

X exposes algorithm secrets #AlgorithmSecrets #OpenSource #RecommendationEngine #EngagementScoring #DigitalMarketing

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@reiver ⊼ (Charles) :batman:

@reiver.mastodon.social.ap.brid.gy

4 months ago

From @elonmusk@twitter.com: """ The 𝕏 recommendation system is evolving very rapidly. We are aiming for deletion of all heuristics within 4 to 6 weeks. Grok will literally read every post and watch every video (100M+ per day) to match users with content they’re most likely to find interesting. This should address the new user or small account problem, where you post something great, but nobody sees it. We will also be adding the ability for you to adjust your feed temporarily or permanently just by asking Grok. """

[Twitter]

It isn't clear to me whether an LLM is replacing Twitter's current recommendation-engine (i.e., what some misleadingly call "an algorithm" or "the algorithm") with an LLM.

Or, if the LLM is more of a front-end to a non-LLM based […]

[Original post on mastodon.social]

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@reiver ⊼ (Charles) :batman:

@reiver.mastodon.social.ap.brid.gy

4 months ago

RE: https://mastodon.social/@cheeaun/115381698564197327

This is an argument for (also) having a recommendation-engine based feed.

(I.e., what some mistakenly call "the algorithm" or an "algorithmic feed".)

“I know the comparison here is 450 followers to 4,500, but follower number isn't […]

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IB Teguh TM

@ibteguh.bsky.social

6 months ago

Unlock Unprecedented Growth: 4 Powerful Strategies with Machine Learning Recommendation In today's fiercely competitive digital landscape, where companies often operate on a level playing field, the true differentiator lies in data and the intelligent tools used to leverage it. Just as oil once fueled the industrial revolution, data now powers the digital economy, acting as the ultimate competitive advantage. And at the heart of transforming raw data into actionable insights lies…

Unlock growth with #MachineLearning Recommendation Systems! Learn 4 strategies using Generative AI to personalize customer experiences. #AI #RecommendationEngine #Personalization

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