ALS | BestHub

Alibaba Cloud Infrastructure

Dec 2, 2024 · Cloud Computing

Alibaba Cloud Showcases ALS System and AI‑Driven Storage Innovations at CCF China Storage Conference 2024

At the CCF China Storage Conference 2024 in Guangzhou, Alibaba Cloud’s research team presented the ALS (ALink System) ecosystem, discussed Scale‑Up interconnect protocols, and demonstrated multi‑layer storage innovations for AI workloads, highlighting hardware‑software integration, high‑bandwidth networking, and future CXL/PIM research.

AI StorageALSAlibaba Cloud

0 likes · 7 min read

Alibaba Cloud Showcases ALS System and AI‑Driven Storage Innovations at CCF China Storage Conference 2024

Architecture Digest

Aug 27, 2022 · Artificial Intelligence

Understanding Collaborative Filtering, Matrix Factorization, and Spark ALS for Recommendation Systems

This article explains the fundamentals of recommendation systems, introduces collaborative filtering (both user‑based and item‑based), derives the matrix‑factorization model with ALS optimization, provides a complete Python implementation, and demonstrates how to apply Spark ALS in both demo and production environments.

ALSSparkcollaborative filtering

0 likes · 29 min read

Understanding Collaborative Filtering, Matrix Factorization, and Spark ALS for Recommendation Systems

vivo Internet Technology

Jul 20, 2022 · Artificial Intelligence

Collaborative Filtering and Matrix Factorization: Theory and Spark ALS Implementation

The article introduces collaborative filtering, derives the matrix‑factorization model R≈X·Yᵀ with L2‑regularized ALS updates, demonstrates a full Python example on a small rating matrix, then shows how to implement and scale Spark’s ALS for massive user‑item data, ending with production tips and references.

ALSRecommendation systemsSpark

0 likes · 25 min read

Collaborative Filtering and Matrix Factorization: Theory and Spark ALS Implementation

DataFunTalk

Jun 10, 2020 · Artificial Intelligence

Embedding Techniques for Real Estate Recommendation at 58.com

This article explains how 58.com applies various embedding methods—including ALS, Skip‑gram, and DeepWalk—to vectorize users and properties, improve similarity calculations, and enhance both recall and ranking stages of its real‑estate recommendation system, with detailed technical descriptions and evaluation results.

ALSDeepWalkReal Estate

0 likes · 16 min read

Embedding Techniques for Real Estate Recommendation at 58.com

Art of Distributed System Architecture Design

Aug 21, 2015 · Artificial Intelligence

Facebook’s Distributed Recommendation System: Architecture, Algorithms, and Performance

The article explains how Facebook built a large‑scale distributed recommendation system using Apache Giraph, collaborative filtering with matrix factorization, SGD and ALS algorithms, a novel work‑to‑work communication scheme, and performance optimizations that achieve ten‑fold speedups on billions of ratings.

ALSApache GiraphFacebook

0 likes · 9 min read