mJackie/RecSys resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2081 stars · 437 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of learning resources for recommender systems, computational advertising, and machine learning, with a focus on click-through rate (CTR) and conversion rate (CVR) prediction. It aggregates tutorials, technical articles, tools, code examples, competition write-ups, blogs, and classic papers, primarily in Chinese.

Use cases

• learning how recommender systems work
• finding resources on CTR prediction models
• studying computational advertising concepts
• preparing for Kaggle CTR prediction competitions
• finding deep learning papers on ad click-through prediction
• comparing statistical and deep learning CTR models

When to choose

• you want a curated reading list for recommender systems and CTR prediction
• you are preparing for ad-tech or CTR-related machine learning interviews or competitions
• you prefer Chinese-language tutorials and articles

When to avoid

• you need runnable production code or a maintained library
• you need up-to-date resources, as the repo has not been updated since 2019
• you only read English, since most content is in Chinese

Facets

learning-resource · maturity maintenance

machine-learning nlp machine-learning awesome-lists tutorials cross-platform recommender-systems ctr-prediction computational-advertising curated-list chinese

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mJackie/RecSys")