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This article explains Spring Interceptors, their relationship with WebApplicationContext, various types, configuration methods, execution flow, advanced features, differences from filters, and provides practical logging and authentication examples with code snippets.
JD's retail technology team presents five SIGIR 2025 papers that introduce advanced graph neural, causal optimal transport, domain‑oriented relevance, multi‑objective bid‑word generation, and hierarchical user behavior models to dramatically improve precise matching in e‑commerce search, recommendation, and advertising.
This article details JD Advertising's journey from a 1 PB Apache Doris data lake to a multi‑level hot‑cold tiering architecture, describing two tiering strategies, the performance and schema‑change challenges faced during the upgrade to Doris 2.0, and the optimizations that reduced storage costs by about 87% while boosting query throughput.
At the 2025 Huawei Developer Conference, JD’s mini‑program team demonstrated how integrating the Cangjie language into HarmonyOS mini‑programs can halve JS API execution time, reduce main‑thread load, and improve cold‑start performance by up to 20% across high‑frequency scenarios.
Learn how to combine MyBatis-Plus's type‑safe LambdaQueryWrapper with Spring Boot's @Async annotation to build readable, maintainable queries and execute them asynchronously, including configuration of custom thread pools, exception handling, transaction management, and practical use cases such as reporting and batch processing.
This article follows a new developer named Li Ming as he confronts undocumented code, hidden business rules, and fragmented knowledge, then demonstrates how leveraging large‑language models to index, associate, and retrieve code, requirements, and operational data can create an intelligent knowledge base that streamlines onboarding, reduces errors, and enhances collaboration across development, testing, and product teams.
This article details JD Retail's AI virtual try‑on system, its technical challenges, innovations such as a large‑scale diffusion model and adaptive masking, and how the solution dramatically cut costs, accelerated image production, and increased conversion rates for fashion e‑commerce during a major promotion.
This article shares the author's experience at the 2025 Huawei Developer Conference, detailing how the JD.com mini-program team leveraged the Cangjie language to analyze and optimize API calls, reduce main-thread load, and achieve up to 50% faster getSystemInfo execution on HarmonyOS.
JoyGen introduces a two‑stage framework that combines 3D morphable model reconstruction with audio‑driven lip motion generation and depth‑aware visual synthesis, delivering precise audio‑lip synchronization and superior visual quality on both the HDTF benchmark and a newly built high‑resolution Chinese talking‑face dataset.
This article explains the cache architecture behind false sharing, demonstrates its dramatic performance impact with benchmark code, and shows how Java's @Contended annotation and Caffeine's memory‑padding techniques can effectively eliminate the issue for high‑concurrency applications.
