The article presents a detailed technical overview of Youku's video search system, covering multi‑modal inputs, multi‑level element indexing, face search, cross‑level and cross‑modal retrieval, and the design and applications of a multimodal graph engine with knowledge‑graph integration.
This article presents a comprehensive overview of the Tree‑based Deep Match (TDM) algorithm, describing the evolution of retrieval technology, the limitations of traditional Match‑Rank pipelines, the design of a one‑stage tree‑indexed deep matching model, its training methodology, performance gains on public datasets, and its deployment in Alibaba’s advertising and e‑commerce platforms.
This article explains how 360 Search processes billions of web pages daily, detailing its backend architecture, offline indexing, online retrieval, index organization, and relevance models that enable efficient search over a hundred‑billion‑scale web corpus.
This article explains the implementation of open-domain chatbots for customer service, comparing retrieval‑based and generative seq2seq approaches, describing hybrid methods that first attempt constrained retrieval before falling back to generation, and discusses training data, keyword extraction, and performance observations.
The article introduces a four‑dimensional evaluation framework for retrieval systems—Fast, Accurate, Complete, and New—explaining how each metric is measured, why it matters to users, and how crowdsourced testing across devices and networks can provide objective quality assessments.
This article details Baidu Doctor’s comprehensive testing and monitoring strategies, covering user experience data analysis, source data trust, online monitoring systems, log‑based automated checks, retrieval backend testing, evaluation metrics, Badcase mining, and user search habit analysis to ensure high‑quality medical O2O services.
Mobile image search has become a critical user demand, and since its 2014 launch, Alibaba’s Paizhi Tao has evolved through multiple iterations to a robust AI-driven pipeline comprising category prediction, object detection, deep and local image feature extraction, scalable retrieval indexing, and relevance-based ranking.
Mobile visual search, a long‑standing dream, has evolved from early research to a production‑grade system at Pailitao, where a five‑module AI pipeline—category prediction, object detection, feature extraction, indexing, and ranking—enables billions of images to be searched instantly on mobile devices.
