A Bayesian-DLM-CF Framework for Real-Time Display Advertising

Michael Els, David Banks

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DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation

Blaž Škrlj, Yonatan Karni, Grega Gašperšič, Blaž Mramor, Yulia Stolin, Martin Jakomin, Jasna Urbančič, Yuval Dishi, Natalia Silberstein, Ophir Friedler, Assaf Klein

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Hierarchical Group-wise Ranking Framework for Recommendation Models

Yachen Yan, Liubo Li, Ravi Choudhary

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Large Language Models for Detecting Gambling Advertisement Images to Enhance the Efficiency of the Creative Review Process

Edward Martis, Jayesh Asawa

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MTMD: A Multi-Task Multi-Domain Framework for Unified Ad Lightweight Ranking at Pinterest

Xiao Yang, Peifeng Yin, Abe Engle, Jinfeng Zhuang, Ling Leng

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Mitigating Position Bias in Click Predictor Models: A Novel Downsampling Approach for Enhanced Accuracy and Efficiency

Phuong Ha Nguyen, Djordje Gligorijevic, Hung Nguyen, Sheng Shen, Zhenke Xi, Abraham Bagherjeiran

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More Ads, Happier Shoppers: Unified-Valuation Ad Allocation at Scale

Sergey Kolbin, Arushi Jain, Manavender Malgireddy, Kurt Zimmer, Masoum Mosmer, Patrick Phelps

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Profit Aware Ad Ranking with Relevance Constraint

Manavender Malgireddy, Dongyue Xie, Sergey Kolbin, Kurt Zimmer, Masoum Mosmer, Patrick Phelps

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SIDE: Semantic ID Embedding for effective learning from sequences

Dinesh Ramasamy, Shakti Kumar, Chris Cadonic, Jiaxin Yang, Sohini Roychowdhury, Esam Abdel Rhman, Sri Reddy

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Click A, Buy B: Rethinking Conversion Attribution in E-Commerce Recommendations

Xiangyu Zeng, Amit Jaspal, Bin Liu, Goutham Panneeru, Kevin Huang, Nicolas Bievre, Mohit Jaggi, Prathap Maniraju, Ankur Jain

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