search optimization

Instant Consumer Technology Team

Jun 5, 2025 · Artificial Intelligence

How DeepSeek AI Transforms Government Search with Smarter, Faster Answers

This article explains how DeepSeek's large‑model‑driven search system overcomes traditional keyword‑matching limits, improves long‑tail query coverage, and delivers personalized, accurate government service results through intent parsing, knowledge‑graph retrieval, and generative optimization.

Artificial IntelligenceGovernment ServicesSemantic Understanding

0 likes · 9 min read

How DeepSeek AI Transforms Government Search with Smarter, Faster Answers

Architect

Oct 10, 2024 · Artificial Intelligence

Algorithmic Practices for Meituan's Content Intelligent Distribution

This article summarizes Meituan's content search system, detailing the challenges of heterogeneous, high‑frequency local content, the multi‑modal tagging and representation pipeline, recall and ranking optimizations, satisfaction metrics, multi‑objective fusion, heterogeneous mixing, and future directions for improving user experience in local life services.

AIMeituanMultimodal

0 likes · 18 min read

Algorithmic Practices for Meituan's Content Intelligent Distribution

政采云技术

Jul 7, 2023 · Artificial Intelligence

AI-Powered Search Term Category Prediction Enhances Procurement Platform Accuracy

The article explains how the procurement platform integrates AI-driven search term category prediction to understand user intent, filter relevant products, and prioritize preferred items, dramatically improving search accuracy from generic keyword matching to a 97% precision rate.

AICategory Predictionmachine learning

0 likes · 5 min read

AI-Powered Search Term Category Prediction Enhances Procurement Platform Accuracy

DataFunTalk

Mar 20, 2023 · Artificial Intelligence

Construction and Application of Meituan Hotel & Travel Knowledge Graph

This article details Meituan's hotel‑travel knowledge graph, describing its background, scene‑recognition challenges, multi‑layer graph architecture, technical modules for knowledge mining, relation discrimination and supply tagging, and its practical applications in search, recommendation, ranking, and risk control, while also outlining future directions and a Q&A session.

AIMeituanhotel travel

0 likes · 15 min read

Construction and Application of Meituan Hotel & Travel Knowledge Graph

vivo Internet Technology

Jun 22, 2022 · Big Data

Evolution and Optimization of Numerical Indexing in Elasticsearch for Geo‑Location Queries

The article traces Elasticsearch’s geo‑indexing evolution from early string‑based simulations through Quadtree filters to the modern BKD‑tree implementation, showing how each optimization dramatically improves memory usage, query speed, and accuracy for large‑scale point‑of‑interest searches in location‑based services.

BKD-TreeElasticsearchGeo-Location

0 likes · 25 min read

Evolution and Optimization of Numerical Indexing in Elasticsearch for Geo‑Location Queries

ByteDance Data Platform

Apr 27, 2022 · Big Data

How ByteDance Built a Scalable Data Catalog: Key Technologies and Future Plans

ByteDance’s Data Catalog article details the system’s unified metadata model, standardized ingestion connectors, search optimization techniques, lineage capabilities, and storage layer enhancements, highlighting key technical designs, performance improvements, and future work to advance data governance and asset utilization.

big datadata catalogdata lineage

0 likes · 12 min read

How ByteDance Built a Scalable Data Catalog: Key Technologies and Future Plans

DataFunSummit

Jul 24, 2021 · Artificial Intelligence

Alibaba 1688 User Growth, Full‑Chain Growth System, and Deep‑Learning Applications in Search and Promotion

This article presents a comprehensive overview of Alibaba 1688's user‑growth strategy, detailing lifecycle segmentation, budget‑constrained installation optimization, intelligent red‑packet allocation, smart push mechanisms, information‑flow advertising, and the deep‑learning‑driven search pipeline that together power the platform's growth engine.

Recommendation systemsbudget optimizatione-commerce

0 likes · 20 min read

Alibaba 1688 User Growth, Full‑Chain Growth System, and Deep‑Learning Applications in Search and Promotion

Top Architect

Jul 10, 2021 · Backend Development

Optimizing Complex Search Queries with Redis: A Backend Development Demo

This article explores how backend developers can handle intricate e‑commerce search filters by first attempting a monolithic SQL solution, then improving performance with index analysis and query splitting, and finally achieving fast, scalable results using Redis sets, sorted sets, and transaction commands.

RedisSQLbackend development

0 likes · 8 min read

Optimizing Complex Search Queries with Redis: A Backend Development Demo

Efficient Ops

Jun 23, 2021 · Backend Development

Why Can’t Elasticsearch Find My Logs? Uncovering Full‑Text Search Pitfalls and Tokenizer Tweaks

This article explains why large‑scale Elasticsearch clusters may miss log entries during keyword searches, dives into the fundamentals of inverted indexes and tokenization, and demonstrates practical index‑time and query‑time tokenizer optimizations—including custom analyzers for English and Chinese—to dramatically improve search recall and precision.

ElasticsearchFull-Text SearchInverted Index

0 likes · 13 min read

Why Can’t Elasticsearch Find My Logs? Uncovering Full‑Text Search Pitfalls and Tokenizer Tweaks

We-Design

May 31, 2021 · Product Management

Mastering Search Design: 5 Essential Stages for Better User Experiences

This article breaks down the evolving problem space of search and walks through its five core stages—request acquisition, parsing, matching, ranking, and result presentation—offering practical design decisions and best‑practice tips to create more effective search experiences.

UI/UXinformation retrievalproduct design

0 likes · 21 min read

Mastering Search Design: 5 Essential Stages for Better User Experiences

Beike Product & Technology

Jan 6, 2021 · Backend Development

Real-time Push Solution for New House Listings in Beike App

This article details the implementation of a real-time push system for new house listings based on user search subscriptions.

Data ProcessingReal-time SystemsSystem Architecture

0 likes · 11 min read

Real-time Push Solution for New House Listings in Beike App

Tencent Cloud Developer

Oct 30, 2020 · Backend Development

Rebuilding QQ Mail Full-Text Search with Elasticsearch: Architecture, Implementation, and Optimization

To overcome aging hardware and code limitations, QQ Mail rebuilt its full‑text search using Tencent Cloud Elasticsearch, adding an esproxy layer, MQ‑driven updates, HTML‑to‑text extraction, protobuf‑JSON conversion, index sorting, two‑stage precise/fuzzy queries, and custom tokenizers, delivering scalable, low‑latency email search.

Cloud ServicesElasticsearchFull-Text Search

0 likes · 17 min read

Rebuilding QQ Mail Full-Text Search with Elasticsearch: Architecture, Implementation, and Optimization

Qunar Tech Salon

Jul 15, 2020 · Artificial Intelligence

Qunar Technology Carnival: Interviews on Search Optimization, AIOps Fault Localization, and Revenue Management

The Qunar Technology Carnival features in‑depth interviews with experts Wang Mingyou, He Yang, and Jia Ziyan who share practical experiences on search ranking improvements, AIOps‑driven fault localization, and data‑driven revenue management, highlighting challenges, solutions, and future directions in AI‑powered systems.

AIOpsQunarRevenue Management

0 likes · 10 min read

Qunar Technology Carnival: Interviews on Search Optimization, AIOps Fault Localization, and Revenue Management

Swan Home Tech Team

Jul 13, 2020 · Backend Development

Design and Evolution of the DaJia App Search System

This article explains the motivations, requirements, and technical design of the DaJia app's search system, compares relational databases with Lucene‑based solutions, describes the inverted index mechanism, outlines common search workflows, and details the system's three iterative development phases and future improvement plans.

BackendElasticsearchInverted Index

0 likes · 12 min read

Design and Evolution of the DaJia App Search System

DataFunTalk

May 21, 2020 · Artificial Intelligence

Query Expansion Techniques for Search Optimization: Models, Data Sources, and Practical Practices

This article reviews the factors influencing search results, explains why query expansion is crucial for improving recall, surveys various sources of expansion terms, describes probabilistic and translation‑based models, and offers practical recommendations for building effective, data‑driven query expansion pipelines.

information retrievalknowledge graphquery expansion

0 likes · 11 min read

Query Expansion Techniques for Search Optimization: Models, Data Sources, and Practical Practices

DataFunTalk

Feb 26, 2020 · Artificial Intelligence

User Growth, Full‑Stack Growth System, and Deep Learning Applications in Search at Alibaba 1688

This article presents a comprehensive overview of Alibaba 1688’s user‑growth strategy, full‑link growth system, intelligent coupon and push mechanisms, and the application of deep‑learning and optimization techniques in search and order‑aggregation, illustrating how data‑driven algorithms drive e‑commerce performance.

AIAlibabae-commerce

0 likes · 20 min read

User Growth, Full‑Stack Growth System, and Deep Learning Applications in Search at Alibaba 1688

Efficient Ops

Feb 10, 2020 · Big Data

How Tencent Scales Elasticsearch for Massive Log, Search, and Time‑Series Workloads

Tencent leverages Elasticsearch at massive scale across log analytics, search services, and time‑series monitoring, addressing challenges of high availability, low cost, and high performance through kernel optimizations, resource‑aware throttling, cold‑data merging, rollup, caching, and open‑source contributions.

Cost OptimizationElasticsearchHigh Availability

0 likes · 20 min read

How Tencent Scales Elasticsearch for Massive Log, Search, and Time‑Series Workloads

vivo Internet Technology

Nov 12, 2019 · Artificial Intelligence

Elasticsearch Retrieval Optimization in Gitee: Interview with Chen Xin

In an interview, Gitee’s chief architect Chen Xin explains why Elasticsearch was chosen for code search, outlines how combining search with NLP can both aid semantic understanding and enrich repository queries, and shares his views on the platform’s fast‑evolving ecosystem and upcoming community meetup.

ElasticsearchGiteeNLP

0 likes · 4 min read

Elasticsearch Retrieval Optimization in Gitee: Interview with Chen Xin

Big Data Technology Architecture

May 29, 2019 · Backend Development

Elasticsearch Performance Optimization for Billion‑Scale Data

The article explains how to improve Elasticsearch query speed on tens of billions of records by leveraging filesystem cache, limiting indexed fields, using hot‑cold data separation, designing efficient document models, and employing scroll or search_after APIs to avoid deep pagination bottlenecks.

Filesystem Cachehot‑cold datapagination

0 likes · 11 min read

Elasticsearch Performance Optimization for Billion‑Scale Data

Architecture Digest

May 28, 2019 · Backend Development

Improving Elasticsearch Query Performance for Billion‑Scale Datasets

To boost Elasticsearch query speed on billions of records, allocate sufficient filesystem cache memory, store only searchable fields, separate hot and cold data, warm up cache, avoid complex joins, and replace deep pagination with Scroll API or search_after for millisecond‑level responses.

ElasticsearchFilesystem Cachedata modeling

0 likes · 10 min read

Improving Elasticsearch Query Performance for Billion‑Scale Datasets