wangshusen/RecommenderSystem

wangshusen/RecommenderSystem has 4,248 GitHub stars and 544 forks. GitHot measured +2 stars in 24 hours. Last checked 2026-11-06 17:28 UTC. Last push 2024-02-07.

How these counts are measured

Multi-gate Mixture-of-Experts (MMoE) [slides] [YouTube] [B站].

4,248 stars 544 forks +2 in 24h

Measured star growth

in 24h: +2
in 7 days: Collecting history
in 15 days: Collecting history
in 1 month: Collecting history

Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.

README.md

Original

工业界的推荐系统

概要 [讲义]
- 推荐系统的基本概念 [slides] [YouTube] [B站].
- 推荐系统的链路 [slides] [YouTube] [B站].
- AB测试 [slides] [YouTube] [B站].
召回
- 基于物品的协同过滤（ItemCF） [slides] [YouTube] [B站].
- Swing模型 [slides] [YouTube] [B站].
- 基于用户的协同过滤（UserCF） [slides] [YouTube] [B站].
- 离散特征处理 [slides] [YouTube] [B站].
- 矩阵补充 [slides] [YouTube] [B站].
- 双塔模型：模型和训练 [slides] [YouTube] [B站].
- 双塔模型：正负样本 [slides] [YouTube] [B站].
- 双塔模型：线上服务 [slides] [YouTube] [B站].
- 双塔模型+自监督学习 [slides] [YouTube] [B站].
- Deep Retrieval 召回 [slides] [YouTube] [B站].
- 其它召回通道 [slides] [YouTube] [B站].
- 曝光过滤 [slides] [YouTube] [B站]
排序
- 多目标排序模型 [slides] [YouTube] [B站].
- Multi-gate Mixture-of-Experts (MMoE) [slides] [YouTube] [B站].
- 预估分数融合 [slides] [YouTube] [B站].
- 播放时长建模 [slides] [YouTube] [B站].
- 推荐系统的特征 [slides] [YouTube] [B站].
- 粗排三塔模型 [slides] [YouTube] [B站].
交叉结构
- Factorized Machine (FM) [slides] [YouTube] [B站].
- Deep & Cross Network (深度交叉网络) [slides] [YouTube] [B站].
- LHUC [slides] [YouTube] [B站].
- SENet & FiBiNET [slides] [YouTube] [B站].
用户行为序列建模
- 用户行为序列特征 [slides] [YouTube] [B站].
- DIN 模型 [slides] [YouTube] [B站].
- SIM 模型 [slides] [YouTube] [B站].
多样性 [讲义]
- 多样性的度量 [slides] [YouTube] [B站].
- MMR 算法 [slides] [YouTube] [B站].
- 规则约束 [slides] [YouTube] [B站].
- DPP：数学基础 [slides] [YouTube] [B站].
- DPP：多样性算法 [slides] [YouTube] [B站].
物品冷启动 [讲义]
- 评价指标 [slides] [YouTube] [B站].
- 简单的召回通道 [slides] [YouTube] [B站].
- 聚类召回 [slides] [YouTube] [B站].
- Look-Alike人群扩散 [slides] [YouTube] [B站].
- 流量调控 [slides] [YouTube] [B站].
- 冷启动的AB测试 [slides] [YouTube] [B站].
涨指标的方法 [参考文献]
- 概述 [slides] [YouTube] [B站].
- 召回 [slides] [YouTube] [B站].
- 排序 [slides] [YouTube] [B站].
- 多样性 [slides] [YouTube] [B站].
- 特殊人群 [slides] [YouTube] [B站].
- 交互行为 [slides] [YouTube] [B站].

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