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Apr 24, 2026 · Artificial Intelligence

Which of the 9 IDEA AI Plugins Is Your Ideal Coding Partner?

This article compares nine popular AI coding assistants for IntelliJ IDEA—GitHub Copilot, Lingma, Comate, Codeium, Tabnine, Amazon Q Developer, CodeGeeX, Supermaven, and JetBrains AI—detailing their core features, pricing, strengths, weaknesses, and offering scenario‑based recommendations to help developers choose the best fit.

AI coding assistantIntelliJ IDEAJava development

0 likes · 15 min read

Which of the 9 IDEA AI Plugins Is Your Ideal Coding Partner?

Zhuanzhuan Tech

Sep 10, 2025 · Artificial Intelligence

How We Boosted Product Pair Recommendations with LLM Scoring and BERT Distillation

This article describes a two‑stage pipeline that first collects and processes product pair data, uses a large language model to score pair compatibility, and then fine‑tunes Qwen‑7B and distills its knowledge into a BERT model to enable fast, online recommendation of well‑matched product combinations.

BERT distillationLLM scoringQwen-7B

0 likes · 7 min read

How We Boosted Product Pair Recommendations with LLM Scoring and BERT Distillation

Alibaba Cloud Native

Aug 25, 2025 · Artificial Intelligence

How 1688 AI App Redefines B2B E‑commerce with AI‑Powered Search and Multimodal Interfaces

The article examines the design shift from the traditional 1688 App to the AI‑native 1688 AI App, detailing how AI‑driven interfaces, system prompts, embedding‑based retrieval, multi‑agent routing, and AI gateways transform B2B product discovery, recommendation, and customization.

AI searchB2B e-commerceMultimodal Retrieval

0 likes · 20 min read

How 1688 AI App Redefines B2B E‑commerce with AI‑Powered Search and Multimodal Interfaces

YunZhu Net Technology Team

Dec 17, 2021 · Artificial Intelligence

Understanding Recommendation Systems for B2B Construction E‑Commerce

This article explains why recommendation systems are essential for B2B construction e‑commerce, describes the types of data they rely on, outlines multi‑channel recall methods, details collaborative‑filtering algorithms with similarity calculations, and presents the four‑stage recommendation pipeline from recall to re‑ranking.

B2B e-commerceartificial intelligencecollaborative filtering

0 likes · 11 min read

Understanding Recommendation Systems for B2B Construction E‑Commerce

DataFunTalk

Jul 31, 2021 · Artificial Intelligence

Construction and Application of Retail Product Knowledge Graph at Meituan

This article details Meituan's development of a multi‑level, multi‑dimensional retail product knowledge graph, covering its background in new retail, hierarchical design, attribute modeling, challenges, efficiency improvements, human‑machine collaboration, and its impact on search, recommendation and both C‑ and B‑side services.

Knowledge GraphMeituanRetail

0 likes · 25 min read

Construction and Application of Retail Product Knowledge Graph at Meituan

Xianyu Technology

Feb 23, 2021 · Artificial Intelligence

Pricing Guidance System for Xianyu Secondhand Marketplace

The Xianyu pricing guidance system blends new‑product market values with depreciation factors derived from usage, condition and category attributes—extracted via real‑time text mining and image analysis—to recommend dynamic price ranges adjusted for supply‑demand and seller urgency, currently covering 60% of listings with over 65% overall accuracy.

data analysise‑commercemachine learning

0 likes · 6 min read

Pricing Guidance System for Xianyu Secondhand Marketplace

Xianyu Technology

Nov 17, 2020 · Big Data

Xianyu Premium Product Library: Architecture and Implementation

Xianyu’s premium‑product library combines interpretable, multi‑dimensional metric models built from structured product and user attributes with real‑time and offline pipelines to systematically tag high‑quality items, delivering services via HSF and a message bus, and has driven over 20% click‑through growth and nearly doubled conversion rates.

Real-time Processingdata pipelinefeature engineering

0 likes · 7 min read

Xianyu Premium Product Library: Architecture and Implementation

Xianyu Technology

Sep 7, 2018 · Artificial Intelligence

Video Deduplication on Xianyu Using High‑Dimensional Vector Retrieval

The Xianyu platform combats video plagiarism by extracting key frames, converting them into 1024‑dimensional vectors, and using product quantization‑based high‑dimensional vector retrieval to achieve over 95% recall with ~100 ms latency and more than 1000 QPS, enabling scalable video, image, and product deduplication.

FAISSPQVector Retrieval

0 likes · 12 min read

Video Deduplication on Xianyu Using High‑Dimensional Vector Retrieval