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123 articles · Page 2 of 2
Baidu Geek Talk
Baidu Geek Talk
Sep 13, 2021 · Artificial Intelligence

Upgrading WanFang Academic Paper Retrieval System with PaddleNLP

WanFang upgraded its academic paper retrieval system by adopting PaddleNLP’s Chinese pre‑trained Sentence‑BERT models, using weakly supervised SimCSE data and Milvus vector indexing, compressing the transformer for TensorRT‑accelerated inference, achieving 70% better matching quality and 2600 QPS latency‑optimized performance.

PaddleNLPSentence-BERTacademic retrieval
0 likes · 8 min read
Upgrading WanFang Academic Paper Retrieval System with PaddleNLP
DataFunTalk
DataFunTalk
Aug 2, 2021 · Databases

From Text Search to Vector Search: Generalizing Unstructured Data Retrieval

The article explains why traditional text‑based search engines like ElasticSearch struggle with modern multimodal data, introduces vector databases that store implicit semantic embeddings, and proposes a generalized search architecture that decouples data‑to‑vector mapping from the engine while leveraging clustering or graph indexes for similarity search.

AIInformation Retrievalembedding
0 likes · 12 min read
From Text Search to Vector Search: Generalizing Unstructured Data Retrieval
DataFunSummit
DataFunSummit
Jul 25, 2021 · Artificial Intelligence

Advances in Query Understanding and Semantic Retrieval at Zhihu Search

This article details Zhihu Search's engineering solutions for long‑tail query challenges, covering historical development, term weighting, synonym expansion, query rewriting with reinforcement learning, and semantic recall using BERT‑based models, while also outlining future research directions such as GAN‑based rewriting and lightweight pre‑training.

BERTEmbedding RetrievalQuery Rewriting
0 likes · 14 min read
Advances in Query Understanding and Semantic Retrieval at Zhihu Search
58 Tech
58 Tech
Mar 29, 2021 · Artificial Intelligence

Deep Semantic Model Exploration and Application in 58 Search

This article presents a comprehensive overview of 58 Search's multi‑stage retrieval system, compares term‑match and semantic matching, details the design, training, and optimization of interactive, dual‑tower, and semi‑interactive BERT‑based semantic models, and discusses their practical deployment in ranking and recall stages.

AIBERTInformation Retrieval
0 likes · 18 min read
Deep Semantic Model Exploration and Application in 58 Search
DataFunTalk
DataFunTalk
Dec 22, 2020 · Artificial Intelligence

Construction and Application of Financial Knowledge Graphs

This article explains how financial institutions can leverage large amounts of structured and unstructured data to build and apply financial knowledge graphs, covering AI key technologies, schema design, data extraction, graph construction, storage solutions, and real-world use cases such as intelligent tagging, recommendation, policy analysis, and executive relationship mining.

entity extractionfinancial AIknowledge graph
0 likes · 14 min read
Construction and Application of Financial Knowledge Graphs
DataFunSummit
DataFunSummit
Dec 9, 2020 · Artificial Intelligence

Construction and Application of Financial Knowledge Graphs: AI Key Technologies, Building Practices, and Real‑World Use Cases

This article explains how financial institutions can leverage massive structured and unstructured data by building a financial knowledge graph, detailing AI core technologies, schema design, extraction methods, storage solutions, and a range of practical applications such as intelligent tagging, recommendation, policy analysis, and executive relationship mining.

Artificial IntelligenceGraph Algorithmsfinancial data
0 likes · 16 min read
Construction and Application of Financial Knowledge Graphs: AI Key Technologies, Building Practices, and Real‑World Use Cases
DataFunSummit
DataFunSummit
Nov 29, 2020 · Artificial Intelligence

Vertical Domain Knowledge Graph Construction with OpenIE Techniques

This article explores the challenges of enterprise knowledge management and presents a comprehensive OpenIE-based approach for building vertical domain knowledge graphs, covering data extraction, SPO triple generation, case studies, and applications such as chatbots, semantic search, and intelligent QA.

Enterprise AIKnowledge ExtractionOpenIE
0 likes · 18 min read
Vertical Domain Knowledge Graph Construction with OpenIE Techniques
DataFunTalk
DataFunTalk
Nov 14, 2020 · Artificial Intelligence

Xiaomi Knowledge Graph: Architecture, Key Technologies, and Business Applications

The article presents an in‑depth overview of Xiaomi's knowledge graph, describing its evolution, core technologies such as entity linking, knowledge fusion and concept mining, and illustrating how it powers diverse AI‑driven services like smart Q&A, virtual assistants, e‑commerce and financial applications.

AI applicationsXiaomientity linking
0 likes · 22 min read
Xiaomi Knowledge Graph: Architecture, Key Technologies, and Business Applications
DataFunTalk
DataFunTalk
Sep 21, 2020 · Artificial Intelligence

Data‑Driven Synonym Transformation for Keyword Matching in Search Advertising

This article explains how keyword matching in search advertising works, outlines the challenges of semantic gaps, matching‑mode determination and scalability, and describes data‑driven synonym transformation techniques—including rule‑based, sequence‑to‑sequence, metric‑space and graph‑based models—to improve recall, efficiency, and robustness.

Ad Techkeyword matchingmachine learning
0 likes · 18 min read
Data‑Driven Synonym Transformation for Keyword Matching in Search Advertising
iQIYI Technical Product Team
iQIYI Technical Product Team
Jun 19, 2020 · Artificial Intelligence

Emoji Search at iQIYI Douya: From ElasticSearch to Lucene and Semantic Retrieval

iQIYI Douya’s emoji search evolved from ElasticSearch to a pure Lucene implementation and added semantic vector retrieval, enabling fast, scalable, and more accurate text‑based search of AI‑generated images for small‑to‑medium businesses by combining custom tokenization, dense embeddings, and hybrid ranking.

ElasticsearchLuceneSearch Architecture
0 likes · 14 min read
Emoji Search at iQIYI Douya: From ElasticSearch to Lucene and Semantic Retrieval
DataFunTalk
DataFunTalk
Jun 3, 2020 · Artificial Intelligence

Semantic Retrieval and Product Ranking in JD E‑commerce Search

This article presents JD's e‑commerce search system, detailing the semantic vector retrieval and product ranking pipelines, the two‑tower deep learning architecture, attention‑based personalization, negative sampling strategies, training optimizations, and real‑world performance gains achieved in production.

Vector Retrievaldeep learninge-commerce
0 likes · 11 min read
Semantic Retrieval and Product Ranking in JD E‑commerce Search
DataFunTalk
DataFunTalk
Feb 14, 2020 · Artificial Intelligence

OpenKG COVID‑19 Knowledge Graphs: Datasets, Schemas, and Applications

The OpenKG initiative, together with dozens of university and industry partners, has released a series of open‑source COVID‑19 knowledge graphs—including encyclopedia, research, clinical, hero, hotspot‑event, and upcoming prevention and resource graphs—detailing their data sources, scale, schema designs, and potential AI‑driven applications such as semantic search and intelligent question answering.

AICOVID-19dataset
0 likes · 11 min read
OpenKG COVID‑19 Knowledge Graphs: Datasets, Schemas, and Applications
Architecture Digest
Architecture Digest
May 13, 2019 · Artificial Intelligence

Enterprise Knowledge Graphs: Development Trends, Use Cases, Database Selection, and Implementation Practices

This article outlines the evolution of knowledge graphs, describes typical enterprise application scenarios, compares graph database options such as Neo4j, Cayley and Dgraph, and presents a six‑step methodology for building, storing, and applying knowledge graphs in large‑scale business environments.

Data IntegrationEnterprise AIgraph database
0 likes · 13 min read
Enterprise Knowledge Graphs: Development Trends, Use Cases, Database Selection, and Implementation Practices
DataFunTalk
DataFunTalk
Dec 27, 2018 · Artificial Intelligence

Construction and Application of a Tourism Knowledge Graph

This article explains what a tourism knowledge graph is, discusses its architecture, construction methods, practical applications such as QA and recommendation, and explores future directions integrating knowledge graphs with deep learning and multi‑domain fusion.

AINLPTourism
0 likes · 10 min read
Construction and Application of a Tourism Knowledge Graph
Meituan Technology Team
Meituan Technology Team
Nov 22, 2018 · Artificial Intelligence

Meituan Brain: Large‑Scale Knowledge Graph Construction and Applications

Meituan Brain builds a massive multi‑modal knowledge graph of billions of entities and triples across food, entertainment, and travel, using advanced extraction, validation, fusion, and reasoning techniques to empower search, recommendation, merchant tools, and fraud detection while addressing scalability and schema‑evolution challenges.

AIGraph ReasoningMeituan
0 likes · 28 min read
Meituan Brain: Large‑Scale Knowledge Graph Construction and Applications
Youku Technology
Youku Technology
Nov 2, 2018 · Artificial Intelligence

How AI Powers Next‑Gen Multimedia Content Retrieval: From OCR to Knowledge Graphs

This article examines the evolution of search, defines multimedia content retrieval, explores user scenarios such as voice, image, and video input, and details key AI techniques—including OCR, face recognition, and content knowledge graphs—that enable semantic understanding and ranking of video content.

OCRVideo Understandingface recognition
0 likes · 12 min read
How AI Powers Next‑Gen Multimedia Content Retrieval: From OCR to Knowledge Graphs
Ctrip Technology
Ctrip Technology
Sep 27, 2018 · Artificial Intelligence

Application of Knowledge Graphs in the Internet Tourism Industry

This article examines the distinctive features of tourism-domain knowledge graphs, outlines methods for constructing them from internal and external data sources, and explores their practical applications such as question‑answering bots, personalized recommendation, and advanced search within the online travel sector.

AITourismgraph database
0 likes · 11 min read
Application of Knowledge Graphs in the Internet Tourism Industry
DataFunTalk
DataFunTalk
Sep 2, 2018 · Artificial Intelligence

From Zero to One: Building and Deploying Knowledge Graphs at Beike Real Estate

This article details the evolution, architecture, and practical applications of knowledge graphs at Beike Real Estate, covering their historical background, five‑view advantages, data pipelines, ontology construction, intelligent search, recommendation, and chatbot integration, while also discussing challenges and future directions.

Artificial IntelligenceIntelligent AssistantNLP
0 likes · 13 min read
From Zero to One: Building and Deploying Knowledge Graphs at Beike Real Estate
Meituan Technology Team
Meituan Technology Team
Jun 21, 2018 · Artificial Intelligence

Deep Learning for Text Matching and Ranking at Meituan

Meituan leverages deep‑learning models such as Word2Vec, DSSM, and LSTM‑based encoders within its ClickNet framework to compute text similarity and rank results, integrating rich business features like user location and merchant rating, thereby surpassing traditional TF‑IDF, BM25, and XGBoost approaches and boosting click‑through rates and revenue.

AIRanking Modelsdeep learning
0 likes · 27 min read
Deep Learning for Text Matching and Ranking at Meituan
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 29, 2017 · Artificial Intelligence

How Alibaba Leverages Deep Learning to Revolutionize E‑Commerce Search

Alibaba’s search team outlines how deep learning transforms e‑commerce search and recommendation, detailing system infrastructure, AI‑driven features like intelligent interaction, semantic search, personalized matching, performance optimizations, multi‑agent learning, and future plans for unified user and query representations.

AISearch Optimizationdeep learning
0 likes · 17 min read
How Alibaba Leverages Deep Learning to Revolutionize E‑Commerce Search
Ctrip Technology
Ctrip Technology
Jul 29, 2016 · Artificial Intelligence

Knowledge Graph Based Question Answering System: Architecture, Research Results, and Deep Learning Approaches

This article presents a knowledge‑graph‑driven question answering system, detailing its three‑layer architecture, semantic search and disambiguation techniques, verb‑semantic templates, deep‑learning models, experimental results, and current challenges in data quality and model integration.

entity recognitionknowledge graphquestion answering
0 likes · 7 min read
Knowledge Graph Based Question Answering System: Architecture, Research Results, and Deep Learning Approaches