real-time recommendation

DataFunTalk

Jan 24, 2024 · Databases

Kuaishou Graph Database Storage‑Compute Separation Architecture and Its Application in Real‑Time Recommendation

This article presents Kuaishou's graph database storage‑compute separation architecture, detailing its application in real‑time recommendation scenarios, core requirements of cost, performance and usability, the layered service design, memory‑compact models, edge structures, snapshot isolation, and key performance optimizations such as Share‑Nothing and columnar data flow.

graph databaseperformance optimizationreal-time recommendation

0 likes · 11 min read

Kuaishou Graph Database Storage‑Compute Separation Architecture and Its Application in Real‑Time Recommendation

DataFunTalk

Apr 1, 2023 · Artificial Intelligence

Real-Time User Understanding Service (RTUS) for Travel: Architecture, Algorithms, and Experimental Evaluation

This article presents the design and implementation of the Real‑Time User Understanding Service (RTUS) for the Fliggy travel platform, detailing its architecture, multi‑chain data fusion, model and data reuse techniques, and several AI‑driven algorithms for cold‑start interest representation, intent prediction, and destination forecasting, together with extensive offline and online experimental results.

AICold StartIntent Prediction

0 likes · 21 min read

Real-Time User Understanding Service (RTUS) for Travel: Architecture, Algorithms, and Experimental Evaluation

DataFunTalk

Feb 26, 2023 · Artificial Intelligence

Interactive Recommendation System for Meituan Food Delivery: Architecture, Challenges, and Evaluation

This article details Meituan's interactive recommendation system for its food‑delivery homepage feed, covering the motivation, challenges, system architecture, user intent modeling, evaluation metrics, experimental results, and future directions, illustrating how real‑time, user‑centric recommendations improve conversion and user experience.

Food DeliveryMeituaninteractive recommendation

0 likes · 25 min read

Interactive Recommendation System for Meituan Food Delivery: Architecture, Challenges, and Evaluation

DataFunTalk

Sep 4, 2021 · Artificial Intelligence

Real‑time Positive/Negative Feedback Sequence Modeling and Multi‑objective Optimization for Taobao Live Ranking

This article presents a practical study on modeling real‑time positive and negative feedback sequences and applying multi‑objective optimization in the re‑ranking stage of Taobao Live, detailing system architecture, feature engineering, loss design, experimental results, and future research directions.

Taobao LiveTransformere-commerce

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Real‑time Positive/Negative Feedback Sequence Modeling and Multi‑objective Optimization for Taobao Live Ranking

Bitu Technology

Feb 12, 2020 · Backend Development

Performance Testing and Optimization of Tubi's Real-Time Recommendation Service

This article describes how Tubi’s engineering team built and optimized a real‑time recommendation backend, using ScalaMeter microbenchmarks and wrk2 load testing to measure latency, throughput and error rates, and demonstrates scaling the service across multiple machines with custom scripts.

Microbenchmarkbackendload testing

0 likes · 12 min read

Performance Testing and Optimization of Tubi's Real-Time Recommendation Service