product recommendation

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.

Artificial IntelligenceB2B e-commerceData Mining

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.

Artificial IntelligenceData MiningMeituan

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.

Big DataFeature EngineeringReal-time Processing

0 likes · 7 min read

Xianyu Premium Product Library: Architecture and Implementation

Xianyu Technology

Sep 9, 2020 · Backend Development

Xianyu Product Attribute Completion Strategy

Xianyu’s new attribute completion system combines MetaQ messaging, AI image recognition, and offline option configuration to auto‑populate key product details, incentivize sellers, and iteratively refine attributes via sales metrics, boosting structured coverage by 30%, cutting verification time 70%, and raising UV‑CTR around three percent.

AlgorithmXianyuattribute completion

0 likes · 7 min read

Xianyu Product Attribute Completion Strategy

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.

PQVector Retrievalfaiss

0 likes · 12 min read

Video Deduplication on Xianyu Using High‑Dimensional Vector Retrieval