#RecommendationEngine

AI Daily Postaidailypost
2026-02-06

New research shows a tuned recommendation engine can boost click‑through rates by 10% while cutting inference cost. The paper dives into model‑serving tricks, optimization for large language models, and deployment efficiency for production AI. Open‑source practitioners will love the practical benchmarks.

🔗 aidailypost.com/news/recommend

PPC Landppcland
2026-02-05

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. ppc.land/criteos-ai-shopping-s

PPC Landppcland
2026-01-25

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

tagxdataTagxdata
2025-11-05

Data Annotation for Smarter AI & Recommendations in E-commerce

Discover how quality data annotation empowers e-commerce businesses to train smarter AI systems and recommendation engines. From image and text labeling to scalable automation, learn how accurate datasets drive personalization, better search, and higher engagement in online retail.

https://www.tagxdata.com/how-data-annotation-helps-build-smarter-ai-and-recommendation-systems-in-e-commerce
@reiver ⊼ (Charles) :batman:reiver
2025-10-19
@reiver ⊼ (Charles) :batman:reiver
2025-10-17

RE: mastodon.social/@cheeaun/11538

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 indicative of the full picture. Think about TikTok, and how you can have 50 followers but have posts that reach millions of views.”

RE: cara.app/post/2e0d29d3-a57a-4b

IB Teguh TMteguhteja
2025-09-08

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

teguhteja.id/machine-learning-

2025-08-27

Bài viết về các hệ thống gợi ý sản phẩm (recommendation engines) trong thương mại điện tử, dành cho kỹ sư và kiến trúc sư.

- Các thuật toán cơ bản: Content-Based Filtering, Collaborative Filtering và các biến thể kết hợp.
- Sự phát triển của deep learning trong lĩnh vực này: MF -> NCF, two-tower retrieval + ANN, sequential models (Transformers), graph models (GNNs), LLM + multimodal, AutoML.

#AI #ecommerce #recommendationengine #trituenhao #thươngmạđiệntử #gợiy

reddit.com/r/progra

Jerry Watsonjerry0020
2025-03-26

AI recommendation engines often fail due to poor data quality, lack of personalization, and algorithmic biases. Learn how to build smarter AI-driven recommendation systems with advanced machine learning techniques and optimized data strategies. Improve accuracy, relevance, and user engagement.

Read more at amplework.com/blog/why-ai-reco

AI Recommendation Engines
@reiver ⊼ (Charles) :batman:reiver
2024-11-19

Regarding:
“Instagram will soon let you reset your recommendation algorithm”

I am glad they called it a “RECOMMENDATION ENGINE” rather than “THE ALGORITHM”.

The whole talk about “The Algorithm” is at best misleading — and probably actually harmful.

[1] mastodon.social/@reiver/109431

[2] mastodon.social/@reiver/110475

[3] mastodon.social/@reiver/113406

RE: mstdn.social/@TechCrunch/11350

Analyse Podcastanalyseasia@mas.to
2024-02-06
Analyse Podcastanalyseasia@mas.to
2024-02-04

Hear Oswald Yeo, CEO & Co-founder of Glints share the pivotal moment in which the company found product-market fit and became hyper-focused on one thing.

Main Site: analyse.asia/glints-human-reso
Full YouTube Video: youtu.be/mBwoOr2D1DQ
Newsletter Signup: analyse.asia/#/portal/signup
LinkedIn Page: linkedin.com/company/analyse-a

#glints #hrtech #southeastasia #talentacquisition #talenthub #tiktokforjobs #recommendationengine #jobsearch #oswaldyeo

Analyse Podcastanalyseasia@mas.to
2024-02-01

Hear Oswald Yeo answer the minimum number of people required to build a talent hub in any country across the Asia Pacific region.

Main Site: analyse.asia/glints-human-reso
Full YouTube Video: youtu.be/mBwoOr2D1DQ
Newsletter Signup: analyse.asia/#/portal/signup
LinkedIn Page: linkedin.com/company/analyse-a

#glints #hrtech #southeastasia #talentacquisition #talenthub #tiktokforjobs #recommendationengine #jobsearch #oswaldyeo

Analyse Podcastanalyseasia@mas.to
2024-01-31

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst