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retrieval

111 articles · Page 2 of 2
DataFunSummit
DataFunSummit
Feb 21, 2022 · Artificial Intelligence

Advances in E‑commerce Search: Embedding, Knowledge Graphs, and Retrieval Models

This article reviews recent research on e‑commerce search, covering transformer‑based complementary rankings, Alibaba's cognitive concept net and its extension, joint deep retrieval with product quantization, personalized semantic retrieval, multi‑granularity deep semantic retrieval, and graph‑attention networks for long‑tail shop search.

AIGraph Neural Networke-commerce
0 likes · 12 min read
Advances in E‑commerce Search: Embedding, Knowledge Graphs, and Retrieval Models
DataFunTalk
DataFunTalk
Dec 13, 2021 · Artificial Intelligence

Dual Vector Foil (DVF): Decoupled Index and Model for Large‑Scale Retrieval

The article introduces the Dual Vector Foil (DVF) algorithm system, which decouples index construction from model training to enable lightweight, high‑precision large‑scale recall using arbitrary complex models, and details its two‑stage and one‑stage solutions, graph‑based retrieval implementation, performance optimizations, and experimental results.

algorithmdeep learninggraph indexing
0 likes · 28 min read
Dual Vector Foil (DVF): Decoupled Index and Model for Large‑Scale Retrieval
DataFunTalk
DataFunTalk
Feb 15, 2021 · Artificial Intelligence

Deep Tree Matching (TDM): Evolution and Practice in Large-Scale Retrieval at Alibaba

This article explains Alibaba's Deep Tree Matching (TDM) technology, covering the challenges of large‑scale match retrieval, the progression from classic two‑stage recall to tree‑based indexing, max‑heap tree modeling, beam‑search retrieval, and the joint model‑index learning across TDM 1.0, 2.0, and 3.0, highlighting significant offline and online performance gains and future research directions.

Alibababeam searchdeep learning
0 likes · 15 min read
Deep Tree Matching (TDM): Evolution and Practice in Large-Scale Retrieval at Alibaba
DataFunTalk
DataFunTalk
Aug 16, 2019 · Artificial Intelligence

Tree‑based Deep Match (TDM): Design, Implementation, and Applications in Large‑Scale Retrieval

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.

TDMlarge-scalerecommendation systems
0 likes · 23 min read
Tree‑based Deep Match (TDM): Design, Implementation, and Applications in Large‑Scale Retrieval
Qunar Tech Salon
Qunar Tech Salon
Mar 1, 2018 · Artificial Intelligence

Open-Domain Chatbot Implementation: Retrieval and Generative Approaches

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.

AICustomer ServiceSeq2Seq
0 likes · 6 min read
Open-Domain Chatbot Implementation: Retrieval and Generative Approaches
Baidu Intelligent Testing
Baidu Intelligent Testing
Apr 28, 2016 · Operations

Testing and Evaluation Practices for Baidu Doctor Platform

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.

Data Analysismedical platformmonitoring
0 likes · 14 min read
Testing and Evaluation Practices for Baidu Doctor Platform
Qunar Tech Salon
Qunar Tech Salon
Feb 20, 2016 · Artificial Intelligence

Mobile Image Search: Algorithm Framework and Implementation at Paizhi Tao

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.

Object Detectiondeep learningimage search
0 likes · 6 min read
Mobile Image Search: Algorithm Framework and Implementation at Paizhi Tao
21CTO
21CTO
Jan 29, 2016 · Artificial Intelligence

How Mobile Image Search Powers Real-Time Shopping: Inside Pailitao’s AI Algorithm

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.

computer visiondeep learningimage search
0 likes · 8 min read
How Mobile Image Search Powers Real-Time Shopping: Inside Pailitao’s AI Algorithm