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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
DataFunSummit
DataFunSummit
Feb 28, 2024 · Big Data

Integrating Business Metrics and Tags for Efficient Product Selection in Fresh Food E‑commerce

This article examines a real‑world case where a fresh‑food e‑commerce platform attempts to fuse business metrics and data tags to streamline monthly product selection, analyzes the shortcomings of the initial solution, and proposes two improved approaches—custom tag rules and algorithmic modeling—to enhance decision‑making efficiency.

Data Producte‑commercemetric analysis
0 likes · 10 min read
Integrating Business Metrics and Tags for Efficient Product Selection in Fresh Food E‑commerce
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Aug 22, 2022 · Industry Insights

How We Built a Transparent, Explainable Traffic Allocation System for E‑Commerce

This article details the design and implementation of a transparent, explainable traffic‑decision system for an e‑commerce platform, covering background challenges, directional principles, selection and targeting methods, PV value estimation, allocation algorithms, and the supporting data‑engineering and visualization infrastructure.

PV estimationalgorithmic fairnessexplainable AI
0 likes · 22 min read
How We Built a Transparent, Explainable Traffic Allocation System for E‑Commerce
JD Retail Technology
JD Retail Technology
Jul 19, 2022 · Backend Development

Design and Architecture of JD Retail Product Selection Platform

This article details the design and implementation of JD Retail’s product selection platform, covering its business background, core data retrieval capabilities, domain model, system architecture—including frontend configurability, backend query engine, ClickHouse indexing, and both offline and real-time data processing pipelines.

Big DataSystem Architecturedata indexing
0 likes · 14 min read
Design and Architecture of JD Retail Product Selection Platform
JD Cloud Developers
JD Cloud Developers
Dec 15, 2021 · Big Data

How JD Retail Scales Billion‑Item Selection with ClickHouse & Elasticsearch

This article details JD Retail's strategic "Nirvana" product‑selection platform, describing the technical challenges of handling billions of items and hundreds of tags, and presenting a dual‑engine solution using ClickHouse and Elasticsearch with Spark‑driven data pipelines to achieve fast filtering, multidimensional analytics, and efficient storage.

Big DataElasticsearchSpark
0 likes · 15 min read
How JD Retail Scales Billion‑Item Selection with ClickHouse & Elasticsearch
Xianyu Technology
Xianyu Technology
Sep 2, 2021 · Artificial Intelligence

Real-time Product Matching and User Profiling System for Personalized Item Selection

The paper introduces a product‑matching and user‑profiling system that builds themed collections by comparing new items to cold‑start samples using a two‑stage similarity pipeline—exact edit‑distance and pHash checks followed by doc2vec and OCR‑based embeddings—and then profiles sellers with RFM and clustering to highlight attributes like recent C2C sales volume, achieving about 80 % precision in a license‑plate bidding scenario while outlining future fusion improvements.

Similarity Detectionmachine learningproduct selection
0 likes · 7 min read
Real-time Product Matching and User Profiling System for Personalized Item Selection
Efficient Ops
Efficient Ops
Jun 18, 2017 · Operations

Choosing the Right Bypass Monitoring Tool: Balancing Cost, Performance, and Value

The article examines the challenges of selecting hardware and monitoring tools, comparing Intel CPUs on performance versus price, and outlines criteria for evaluating bypass‑monitoring products, emphasizing cost, reliability, scalability, and data‑decoding capabilities to guide informed operational decisions.

OperationsPerformance Monitoringcost-benefit analysis
0 likes · 9 min read
Choosing the Right Bypass Monitoring Tool: Balancing Cost, Performance, and Value