query expansion

JD Tech

Jun 16, 2025 · Artificial Intelligence

How JD Engineers Leverage LLMs and Sparse Models to Boost Search and Ads

This article showcases three JD tech case studies—using large language models for e‑commerce query expansion, applying sparse large models with scaling‑law experiments to improve ad prediction, and building proactive risk‑prevention systems—to illustrate practical AI engineering that drives higher recall, conversion, and system robustness.

advertisinge-commercelarge language model

0 likes · 8 min read

How JD Engineers Leverage LLMs and Sparse Models to Boost Search and Ads

JD Tech Talk

May 27, 2025 · Artificial Intelligence

Solving Real-World AI Challenges at JD Retail: Reward Model Ensembles, Query Expansion, and Model Pruning

This article recounts how JD Retail's young algorithm engineers tackled diverse AI problems—optimizing reward‑model ensembles for ad image generation, building large‑language‑model‑based query expansion, and pruning diffusion models with FFT and RDP—while sharing their technical approaches, code snippets, and growth reflections.

AILarge Language Modelsalgorithm engineering

0 likes · 14 min read

Solving Real-World AI Challenges at JD Retail: Reward Model Ensembles, Query Expansion, and Model Pruning

JD Tech

May 26, 2025 · Artificial Intelligence

Solving Technical Challenges at JD Retail: Multi‑Reward Models, LLM‑Based Query Expansion, Model Pruning, and Reinforcement Learning

This article details how JD Retail's young algorithm engineers tackled a series of AI engineering problems—including advertising image quality assessment with multi‑reward models, large‑language‑model‑driven query expansion, FFT‑and‑RDP‑based model pruning, and agent‑centric reinforcement learning—while sharing practical growth insights and code snippets.

AILarge Language Modelscomputer vision

0 likes · 15 min read

Solving Technical Challenges at JD Retail: Multi‑Reward Models, LLM‑Based Query Expansion, Model Pruning, and Reinforcement Learning

JD Retail Technology

May 7, 2025 · Artificial Intelligence

Solving Technical Challenges with Large AI Models at JD Retail: Reward Modeling, Query Expansion, and Model Pruning

JD Retail’s engineering team tackles hard AI problems by replacing a monolithic reward model with specialized small models for ad‑image generation, deploying an LLM‑driven query‑expansion pipeline that lifts conversion rates, and pruning text‑to‑image transformers using FFT and RDP to boost throughput 40% without loss, while building comprehensive evaluation tools and a semantic smart‑assistant.

AILarge ModelsReward Modeling

0 likes · 14 min read

Solving Technical Challenges with Large AI Models at JD Retail: Reward Modeling, Query Expansion, and Model Pruning

Selected Java Interview Questions

Aug 27, 2024 · Databases

MySQL Full‑Text Search: Inverted Index, Query Modes, and Usage

This article explains how MySQL InnoDB implements full‑text search using inverted indexes, shows how to create and drop full‑text indexes, and demonstrates the three query modes—Natural Language, Boolean, and Query Expansion—along with their syntax, operators, relevance calculation, and practical examples.

Boolean ModeDatabaseFull-Text Search

0 likes · 11 min read

MySQL Full‑Text Search: Inverted Index, Query Modes, and Usage

Laravel Tech Community

Feb 4, 2024 · Databases

Understanding Full-Text Search and Inverted Indexes in MySQL InnoDB

This article explains how MySQL InnoDB implements full‑text search using inverted indexes, covers the creation and usage of FULLTEXT indexes, demonstrates various MATCH…AGAINST query modes such as natural language, boolean, and query expansion, and shows how to manage and delete full‑text indexes with practical SQL examples.

Boolean ModeFull-Text SearchInverted Index

0 likes · 10 min read

Understanding Full-Text Search and Inverted Indexes in MySQL InnoDB

Architecture Digest

Jan 23, 2024 · Databases

MySQL InnoDB Full‑Text Search: Inverted Index, Query Modes, and Practical Examples

This article explains how MySQL InnoDB implements full‑text search using inverted indexes, shows how to create and drop FULLTEXT indexes, and demonstrates natural language, boolean, and query‑expansion search modes with concrete SQL examples and operator details.

Boolean ModeDatabaseFull-Text Search

0 likes · 10 min read

MySQL InnoDB Full‑Text Search: Inverted Index, Query Modes, and Practical Examples

Architect's Tech Stack

Mar 3, 2022 · Databases

Understanding MySQL InnoDB Full-Text Search and Inverted Index

This article explains why traditional B‑Tree indexes fail for keyword searches, introduces the concept of inverted indexes, shows how to create and use MySQL InnoDB full‑text indexes with MATCH‑AGAINST in various modes, and covers index maintenance and query‑expansion techniques.

Boolean ModeDatabaseFull-Text Search

0 likes · 12 min read

Understanding MySQL InnoDB Full-Text Search and Inverted Index

Aikesheng Open Source Community

May 26, 2021 · Databases

Practical Guide to Using MySQL Full-Text Indexes

This article explains MySQL full‑text indexing, compares its syntax with ordinary SQL, demonstrates how to create and query a full‑text index using natural language, boolean, and query‑expansion modes, and shows performance differences through execution‑plan analysis and relevance ranking.

Boolean ModeFull-Text IndexMySQL

0 likes · 9 min read

Practical Guide to Using MySQL Full-Text Indexes

DataFunTalk

Dec 14, 2020 · Artificial Intelligence

Query Expansion Techniques: Relevance Modeling vs. Generative Approaches and Future Directions

This article reviews current query expansion methods, contrasting relevance‑based models that rely on terms or entities with generative models that encode whole queries, discusses challenges of handling long and complex queries, and surveys recent research on encoding queries, session modeling, and multi‑task feature integration.

Generative ModelsNLPinformation retrieval

0 likes · 9 min read

Query Expansion Techniques: Relevance Modeling vs. Generative Approaches and Future Directions

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

Sep 10, 2019 · Artificial Intelligence

Computational Advertising: Overview and Key Techniques from the Second Edition

The article introduces the second edition of "Computational Advertising", highlights its practical coverage of bidding algorithms, eCPM estimation, query expansion methods, and ad placement optimization, while also noting its industry impact, author credentials, and a limited‑time book giveaway.

ad techbidding algorithmscomputational advertising

0 likes · 10 min read

Computational Advertising: Overview and Key Techniques from the Second Edition