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Alimama Tech
Alimama Tech
Apr 9, 2026 · Artificial Intelligence

How LLM‑Powered AI Transforms Taobao Product Selection: From DeepSearch to Agentic RL

This article analyzes the challenges of traditional product selection on Taobao and presents an LLM‑driven solution that combines multi‑round online search, DeepSearch vs. WideSearch strategies, sample construction, SFT and RL training, and shows experimental results that improve relevance, diversity, and efficiency of the selected product set.

LLMe‑commerceproduct selection
0 likes · 20 min read
How LLM‑Powered AI Transforms Taobao Product Selection: From DeepSearch to Agentic RL
PMTalk Product Manager Community
PMTalk Product Manager Community
Feb 18, 2026 · Industry Insights

What Product Descriptions Convince Generative AI to Recommend Your Item?

The rise of generative AI like Google Gemini has shifted SEO from keyword stuffing to clearly explaining product value, use cases, and technical details, as illustrated by real conversations and case studies that show how precise, scenario‑focused copy dramatically improves AI recommendation rankings.

AI RecommendationsAI SEOMarketing Strategy
0 likes · 6 min read
What Product Descriptions Convince Generative AI to Recommend Your Item?
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jan 23, 2026 · Backend Development

Why Elasticsearch’s 10,000 Hit Limit Slows Your Cluster and How to Fix It

Elasticsearch defaults to a total hit count of 10,000 after version 7.x, which many developers override with "track_total_hits": true to get exact numbers, but this seemingly harmless change can double CPU usage and increase query latency from 20 ms to 500 ms due to the underlying Block‑Max WAND algorithm and its interaction with aggregations, sorting, and scoring.

Block-Max WANDElasticsearchperformance
0 likes · 11 min read
Why Elasticsearch’s 10,000 Hit Limit Slows Your Cluster and How to Fix It
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Dec 26, 2025 · Databases

How to Enable Accurate Code Search in Elasticsearch with an NGram Analyzer

This article analyzes the shortcomings of standard Elasticsearch analyzers for code search, presents a custom NGram analyzer combined with match_phrase queries, shows configuration and query examples, compares performance of different query types, and offers best‑practice guidelines and pitfalls to avoid when building a reliable code‑search system.

ElasticsearchNGramPython
0 likes · 13 min read
How to Enable Accurate Code Search in Elasticsearch with an NGram Analyzer
php Courses
php Courses
Sep 23, 2025 · Backend Development

Boost Music Site Search with PHP and Xunsearch: A Step‑by‑Step Guide

This tutorial explains how to install Xunsearch, integrate it with PHP, index music data, and execute fast, accurate full‑text searches for songs on a music website, providing code examples and best practices for improving user search experience.

BackendFull‑Text SearchPHP
0 likes · 5 min read
Boost Music Site Search with PHP and Xunsearch: A Step‑by‑Step Guide
Instant Consumer Technology Team
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.

Retrieval Augmented Generationartificial intelligencegovernment services
0 likes · 9 min read
How DeepSeek AI Transforms Government Search with Smarter, Faster Answers
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Dec 30, 2024 · Artificial Intelligence

How RAG Fusion Revolutionizes Information Retrieval: Mechanisms, Benefits, and Future Directions

This article examines RAG Fusion, a retrieval‑augmented generation technique that combines multi‑query generation, reciprocal rank fusion, and contextual relevance improvements to boost search accuracy, discusses its workflow, mathematical foundation, advantages, challenges, real‑world applications, and emerging research directions.

AIRAG FusionReciprocal Rank Fusion
0 likes · 15 min read
How RAG Fusion Revolutionizes Information Retrieval: Mechanisms, Benefits, and Future Directions
Architect
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.

AIMeituancontent search
0 likes · 18 min read
Algorithmic Practices for Meituan's Content Intelligent Distribution
Meituan Technology Team
Meituan Technology Team
Mar 21, 2024 · Artificial Intelligence

Algorithmic Practices for Meituan's Content Intelligent Distribution

This article outlines Meituan’s end‑to‑end content‑intelligent distribution pipeline, detailing challenges of massive multimodal search, supply labeling, semantic and personalized recall, multi‑objective ranking with distillation and MMoE/PPNet, heterogeneous mixing, and future plans for automated detection and large‑language‑model integration.

AIcontent searchranking
0 likes · 17 min read
Algorithmic Practices for Meituan's Content Intelligent Distribution
Programmer DD
Programmer DD
Jun 26, 2023 · Databases

Unlock Lightning-Fast Search: Proven Elasticsearch Performance Tuning Tips

This article presents comprehensive best‑practice recommendations for optimizing Elasticsearch deployments, covering hardware selection, RAID choices, index and shard planning, query and caching strategies, bulk indexing, refresh intervals, monitoring tools, version upgrades, and lifecycle management to achieve high performance, reliability, and scalability.

Elasticsearchindexingperformance tuning
0 likes · 18 min read
Unlock Lightning-Fast Search: Proven Elasticsearch Performance Tuning Tips
DataFunTalk
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.

AIKnowledge GraphMeituan
0 likes · 15 min read
Construction and Application of Meituan Hotel & Travel Knowledge Graph
Baidu Geek Talk
Baidu Geek Talk
Sep 28, 2022 · Backend Development

How to Optimize Elasticsearch Queries for Precise Enterprise Search Results

This article walks through the practical steps of improving Elasticsearch relevance for an enterprise search platform, covering user requirements, index creation, analysis, scoring models, boost and filter techniques, function_score customizations, and post‑query interventions to deliver more accurate and business‑aligned results.

Backend DevelopmentElasticsearchQuery DSL
0 likes · 11 min read
How to Optimize Elasticsearch Queries for Precise Enterprise Search Results
vivo Internet Technology
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
Java Baker
Java Baker
Jun 4, 2022 · Databases

Boost Multi-Dimensional Queries with Elasticsearch: From Basics to Advanced Integration

This article explains common multi‑dimensional query scenarios, compares basic indexing tricks and data heterogeneity approaches, then details how to integrate Elasticsearch with MySQL—including architecture, data import, Java client usage, code examples, and best‑practice recommendations—for scalable, near‑real‑time search.

ElasticsearchJava ClientMulti-dimensional query
0 likes · 15 min read
Boost Multi-Dimensional Queries with Elasticsearch: From Basics to Advanced Integration
ByteDance Data Platform
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.

Data CatalogData LineageStorage Optimization
0 likes · 12 min read
How ByteDance Built a Scalable Data Catalog: Key Technologies and Future Plans
DataFunSummit
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
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.

Backend DevelopmentSQLcaching
0 likes · 8 min read
Optimizing Complex Search Queries with Redis: A Backend Development Demo
Efficient Ops
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 SearchTokenizer
0 likes · 13 min read
Why Can’t Elasticsearch Find My Logs? Uncovering Full‑Text Search Pitfalls and Tokenizer Tweaks
Java High-Performance Architecture
Java High-Performance Architecture
Jun 4, 2021 · Operations

How JD.com Scaled Its Order Search with a Real-Time Dual Elasticsearch Cluster

JD.com’s order center faced massive query loads, prompting a migration from MySQL to Elasticsearch and a multi-stage evolution of its ES cluster—from a chaotic initial setup to isolated nodes, replica tuning, master‑slave dual clusters, and real‑time backup—culminating in a robust, high‑throughput, fault‑tolerant search architecture.

ElasticsearchJD.comdata synchronization
0 likes · 14 min read
How JD.com Scaled Its Order Search with a Real-Time Dual Elasticsearch Cluster
We-Design
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.

Product DesignUI/UXinformation retrieval
0 likes · 21 min read
Mastering Search Design: 5 Essential Stages for Better User Experiences
Code Ape Tech Column
Code Ape Tech Column
Jan 12, 2021 · Backend Development

How to Build a High‑Performance Search API with SQL and Redis Caching

This article walks through three progressively better implementations for a complex e‑commerce search API—starting with a monolithic SQL query, then splitting the query and adding indexes, and finally using Redis sets and sorted sets to cache filter results, handle pagination, and achieve production‑grade performance.

BackendSQLpagination
0 likes · 8 min read
How to Build a High‑Performance Search API with SQL and Redis Caching
Tencent Cloud Developer
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.

Backend ArchitectureCloud ServicesElasticsearch
0 likes · 17 min read
Rebuilding QQ Mail Full-Text Search with Elasticsearch: Architecture, Implementation, and Optimization
58UXD
58UXD
Oct 19, 2020 · Product Management

Turning Used‑Car Search into a Smart Recommendation Engine

This article analyzes why the used‑car search conversion is low, reconstructs user search scenarios from query data, categorizes search intents, identifies pain points across the search funnel, and proposes product‑level redesigns and recommendation strategies to educate vague users and deliver more precise results.

User experiencedata analysise‑commerce
0 likes · 9 min read
Turning Used‑Car Search into a Smart Recommendation Engine
Tencent Mobility Industry Design Center
Tencent Mobility Industry Design Center
Sep 10, 2020 · Product Management

How Tencent Maps 9.0 Boosted Search Efficiency with Smart Design

Tencent Maps' 9.0 upgrade overhauls the search experience by analyzing user behavior, redesigning the search initiation, result comparison, and service delivery phases, implementing UI refinements, modular service cards, and stable navigation, ultimately achieving an 8% increase in conversion and faster destination discovery.

Product DesignTencent MapsUser experience
0 likes · 13 min read
How Tencent Maps 9.0 Boosted Search Efficiency with Smart Design
Qunar Tech Salon
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.

QunarRevenue ManagementTech Interview
0 likes · 10 min read
Qunar Technology Carnival: Interviews on Search Optimization, AIOps Fault Localization, and Revenue Management
Swan Home Tech Team
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.

BackendElasticsearchSearch
0 likes · 12 min read
Design and Evolution of the DaJia App Search System
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 10, 2020 · Backend Development

Elasticsearch Index and Search Optimization Guide

This article provides a comprehensive overview of Elasticsearch architecture and presents practical index and search optimization techniques, configuration recommendations, stress‑testing methods, and monitoring tools to improve cluster performance and reliability.

Cluster ConfigurationElasticsearchindexing
0 likes · 13 min read
Elasticsearch Index and Search Optimization Guide
DataFunTalk
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.

Knowledge Graphinformation retrievalmachine learning
0 likes · 11 min read
Query Expansion Techniques for Search Optimization: Models, Data Sources, and Practical Practices
DataFunTalk
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
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 OptimizationElasticsearchLog Analytics
0 likes · 20 min read
How Tencent Scales Elasticsearch for Massive Log, Search, and Time‑Series Workloads
vivo Internet Technology
vivo Internet Technology
Nov 19, 2019 · Industry Insights

Inside Elastic Shenzhen Meetup: Real‑World ES Practices from ByteDance, Tencent, Alibaba & More

The Elastic Shenzhen Meetup on November 16, 2019 gathered over 200 tech enthusiasts to hear in‑depth talks on Elasticsearch deployments, K8S integration, DB‑to‑ES synchronization, and performance optimizations from experts at ByteDance, Tencent, Alibaba Cloud, and Gitee, followed by interactive Q&A and a lively prize draw.

ElasticsearchKubernetesMeetup
0 likes · 7 min read
Inside Elastic Shenzhen Meetup: Real‑World ES Practices from ByteDance, Tencent, Alibaba & More
vivo Internet Technology
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
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.

BackendFilesystem CacheHot/Cold Data
0 likes · 11 min read
Elasticsearch Performance Optimization for Billion‑Scale Data
Architecture Digest
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
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.

AIDeep Learninge‑commerce
0 likes · 17 min read
How Alibaba Leverages Deep Learning to Revolutionize E‑Commerce Search
21CTO
21CTO
Jan 8, 2016 · Product Management

Unlock JD.com Search: How Updates, Indexing, and Ranking Really Work

This article explains JD.com’s search update cycles, indexing rules for SKUs and product attributes, common reasons products disappear or drop in rank, and practical optimization tips covering high‑relevance categories, text relevance, pricing models, title strategies, and traffic entry points.

JD.come‑commerceproduct indexing
0 likes · 16 min read
Unlock JD.com Search: How Updates, Indexing, and Ranking Really Work
Suning Technology
Suning Technology
Jun 16, 2015 · Artificial Intelligence

How Suning Leverages Query Logs to Auto‑Discover Product Synonyms

Suning’s search team automatically extracts domain‑specific synonym pairs from massive query‑click logs using candidate extraction, multi‑feature similarity calculations, and Apriori pattern mining, dramatically improving e‑commerce search recall and user experience.

data mininge‑commercequery logs
0 likes · 6 min read
How Suning Leverages Query Logs to Auto‑Discover Product Synonyms