From Zero to One: Building a Personalized E‑commerce Search with Easysearch

The article walks through constructing a fully personalized e‑commerce search system using Easysearch and Python Flask, detailing product modeling, behavior collection, profile building with time decay and LLM augmentation, and how to inject these signals into Elasticsearch DSL for real‑time, user‑specific ranking and recommendation.

EasysearchElasticsearchLLM

0 likes · 18 min read

From Zero to One: Building a Personalized E‑commerce Search with Easysearch

Kuaishou Tech

Aug 7, 2025 · Artificial Intelligence

Balancing Personalization and Safety: LaD Model Boosts Real‑Time Search Query Generation

This article presents the LaD model, an end‑to‑end generative and detoxification framework for search query auto‑completion that hierarchically captures long‑ and short‑term user interests, achieves large AB test gains on Kuaishou, and has been accepted at KDD 2025.

Generative ModelsKDD2025LaD

0 likes · 11 min read

Balancing Personalization and Safety: LaD Model Boosts Real‑Time Search Query Generation

Kuaishou Tech

Oct 17, 2023 · Artificial Intelligence

QIN: A Query‑Dominated User Interest Network for Personalized Search

The paper introduces QIN, a query‑driven user interest network that combines a Relevance Search Unit and a Fused Attention Unit to effectively leverage full‑history user behavior for personalized search, demonstrating significant performance gains in offline benchmarks and online A/B tests.

Deep Learningfused attentionpersonalized search

0 likes · 9 min read

QIN: A Query‑Dominated User Interest Network for Personalized Search

Hulu Beijing

May 26, 2022 · Artificial Intelligence

Why Vector Retrieval Outperforms Keyword Search for Personalized Video Discovery

This article explains how modern video platforms combine traditional keyword retrieval with deep‑learning‑based vector retrieval, detailing model architectures, attention mechanisms, personalization features, offline experiments, and online A/B results that show significant improvements in recall, relevance, and user experience.

Deep LearningVector Retrievalinformation retrieval

0 likes · 18 min read

Why Vector Retrieval Outperforms Keyword Search for Personalized Video Discovery

58 Tech

Jan 22, 2021 · Artificial Intelligence

AI + CRM: Improving Enterprise Performance and Efficiency

This article describes how 58.com’s AI Lab integrated machine‑learning and recommendation techniques into its CRM system, redesigning sales workflows, introducing the “Michigan” model, and deploying XGBoost and MMoE models to boost key metrics such as transfer rate and 60‑second effective call rate, achieving significant performance gains.

AICRMmachine learning

0 likes · 20 min read

AI + CRM: Improving Enterprise Performance and Efficiency