Papers on Computational Advertising
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
CTR prediction model based on spark(LR, GBDT, DNN)
A fast boolean expression index implementation, especially for RTB ad selection. A Go implementation of the core algorithm in Standford and Yahoo's paper <Indexing Boolean Expression>
A easy library for recommendation system or computational advertising
A curated list of papers on click-through-rate (CTR) prediction.
A curated list of awesome Computational Advertising
💸 CS498HS4: Computational Advertising in Fall 2018, UIUC
Paper notes on RecSys / Ads / Search (搜广推). Companion to WeChat「稳扎稳打学AI」. Notes-first, not a code warehouse.
中英双语知识库，为推荐系统与计算广告 auto research 提供可精确引用的技术资料 — 召回/排序/重排、生成式推荐（语义 ID、HSTU、OneRec、EGA、OneRec-Think、RecZero、扩散模型）、计算广告（GFP/GSP/VCG、智能出价、预估校准、WAND/ANN 检索、反作弊）。
Universal Commercial System: Computational Advertising with Recommender Systems for Targeting and Ranking Ads through Machine Learning
A simple framework for ad impression forecasting in contextual advertising. A Go implementation of the core algorithm in Yahoo‘s paper <A Search-based Method for Forecasting Ad Impression in Contextual Advertising>
A modular pipeline for SMS text mining, feature extraction, and deep learning-based classification.
Synthetic RTB auction data simulator, measuring the marginal value of DSP/MMP/SSP data layers.
Reproducible CTR interaction benchmark with fixed splits, five model families, ablations and paired uncertainty estimates.
An LSTM for ad conversion-rate prediction (pCVR) — last 50 user behavior events in, purchase probability out. Logistic regression baseline, strict time-based splits, FastAPI serving. 100M Taobao events.
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