Tagged articles

interest modeling

3 articles · Page 1 of 1

Jul 6, 2026 · Artificial Intelligence

Continuously Understanding Every User: Deep Dive into User Profile Architecture and Lifecycle

This article explains why user profiles are essential for recommendation systems, details their static, long‑term, short‑term, and embedding components, describes the full lifecycle from cold start to interest drift and decay, and outlines engineering practices, storage strategies, pipeline design, sequence modeling and emerging LLM‑based profiling.

LLMembeddinginterest modeling

0 likes · 37 min read

58 Tech

Jan 8, 2021 · Artificial Intelligence

Deep Learning Practices for Multi‑Business Integrated Recommendation: From Dual‑Channel to Multi‑Channel Interest Models and Multi‑Scenario Adaptation

The article details how 58.com tackled the challenges of multi‑business recommendation by evolving its ranking models from a dual‑channel deep interest architecture to a 1+N multi‑channel deep interest model, incorporating customized feature cross layers, scenario‑adaptation mechanisms, and extensive engineering optimizations that yielded significant CTR and conversion gains.

Multi-Channelfeature engineeringinterest modeling

0 likes · 27 min read

Deep Learning Practices for Multi‑Business Integrated Recommendation: From Dual‑Channel to Multi‑Channel Interest Models and Multi‑Scenario Adaptation

DataFunTalk

Jul 29, 2020 · Artificial Intelligence

Multi‑Business Recommendation System Architecture and Optimization at 58.com

This article explains how 58.com designs a three‑layer recommendation system for its homepage, tackles challenges of multi‑business fusion, interest modeling, traffic allocation, and dynamic refresh, and presents a step‑by‑step optimization pipeline that improves CTR and diversity.

AIdynamic-refreshinterest modeling

0 likes · 17 min read

Multi‑Business Recommendation System Architecture and Optimization at 58.com