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）。
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>
Universal Commercial System: Computational Advertising with Recommender Systems for Targeting and Ranking Ads through Machine Learning
A modular pipeline for SMS text mining, feature extraction, and deep learning-based classification.
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.
Reproducible CTR interaction benchmark with fixed splits, five model families, ablations and paired uncertainty estimates.
Synthetic RTB auction data simulator, measuring the marginal value of DSP/MMP/SSP data layers.
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