WebNAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan and Yihua Huang . Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan and … Webthe existing features used for CTR prediction baseline. •We introduce, up to our knowledge for the first time, the supplementary knowledge in the building of NLP features for CTR prediction in sponsored search engines. A joint-training framework, which combines the fine-tuning of lan-guage models with the existing features from CTR prediction
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http://wnzhang.net/ WebClick-Through Rate Prediction. 102 papers with code • 19 benchmarks • 5 datasets. Click-through rate prediction is the task of predicting the likelihood that something on a website (such as an advertisement) will be clicked. ( Image credit: Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction ) foci government contracting
CTR点击率预估论文集锦（持续更新） - 知乎 - 知乎专栏
Web引言： 推荐系统作为深度学习（CV, NLP, RS）御三家之一，一直都是学术界和工业界的热门研究topic。为了更加清楚的掌握推荐系统的前沿方向与最新进展，本文整理了最近一年顶会中推荐系统相关的论文，一共涵盖SIGIR2024, KDD2024, RecSys2024, CIKM2024, AAAI2024, WSDM2024 ... WebWeinan Zhang - SJTU. John Hopcroft Center for Computer Science. 307 Yifu Building, 800 Dongchuan Road. Shanghai, 200240, China. Email: wnzhang [AT] sjtu.edu.cn. Weinan Zhang is now a tenured associate professor at Shanghai Jiao Tong University. His research interests include (multi-agent) reinforcement learning, deep learning and data science ... Web因此直接搜Link Prediction和链路预测，查到的大多是知识图谱中的一些东西，甚至排名靠前的Link Prediction综述，也都是限定于KG中的链路预测。 最后费劲扒拉了一些论文，还是能找到一些focus在原生的Link Prediction（Graph Generation）方向的论文的，里面甚至还 … greeting card companies looking for writers