FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

23 May 2019

Papers citing "FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction"

44 / 44 papers shown

Title
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities Jiancheng Ruan Tingyang Chen Renchi Yang Xiangyu Ke Yunjun Gao 22 0 0 19 Jun 2025
SHORE: A Long-term User Lifetime Value Prediction Model in Digital Games Shuaiqi Sun Congde Yuan Haoqiang Yang Mengzhuo Guo Guiying Wei Jiangbo Tian 99 0 0 12 Jun 2025
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Ken Yaggel Eyal German Aviel Ben Siman Tov MoE 23 0 0 09 Jun 2025
Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System C. Wang Yue Zheng Yujing Zhang Yan Feng Zhe Wang Xiaowei Shi An You Yu Chen CML 39 0 0 01 Jun 2025
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model Yu Xia Rui Zhong Hao Gu Wei Yang Chi Lu Peng Jiang Kun Gai 225 0 0 26 May 2025
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Kefan Wang Hao Wang Wei Guo Yong Liu Jianghao Lin Defu Lian Enhong Chen 56 0 0 25 May 2025
Enhancing CTR Prediction with De-correlated Expert Networks Jiancheng Wang Mingjia Yin Junwei Pan Ximei Wang Hao Wang Enhong Chen 64 0 0 23 May 2025
Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation Hao Guo Erpeng Xue Lei Huang Shichao Wang Xiaolei Wang Lei Wang Jinpeng Wang Sheng Chen 58 0 0 22 May 2025
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction Yu Cui Feng Liu Jiawei Chen Yudi Wu Changwang Zhang Jun Wang Yuegang Sun Xiaohu Yang Can Wang 114 0 0 20 May 2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction Jinfeng Zhuang Yinrui Li Runze Su Ke Xu Zhixuan Shao ... Qifei Shen Aayush Mudgal Caleb Lu Qingbin Liu Hongda Shen 127 0 0 10 Apr 2025
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law Songpei Xu Shijia Wang Da Guo Xianwen Guo Qiang Xiao Fangjian Li Chuanjiang Luo 111 0 0 17 Feb 2025
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System Yongchun Zhu Jingwu Chen Ling Chen Yongqian Li Feng Zhang Xiao Yang Zuotao Liu 88 0 0 28 Jan 2025
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction Yunxiao Shi Wujiang Xu Mingyu Jin Haimin Zhang Qiang Wu 115 1 0 16 Aug 2024
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction Yushen Li Jinpeng Wang Tao Dai Jieming Zhu Jun Yuan Rui Zhang Shu-Tao Xia 26 3 0 02 Apr 2024
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph Qian Zhao Hao Qian Ziqi Liu Gong-Duo Zhang Lihong Gu KELM 85 18 0 21 Feb 2024
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation Liangcai Su Fan Yan Jieming Zhu Xi Xiao Haoyi Duan Zhou Zhao Zhenhua Dong Ruiming Tang 70 9 0 30 Nov 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction Yachen Yan Liubo Li 84 3 0 06 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan Liubo Li 66 9 0 03 Jan 2023
CL4CTR: A Contrastive Learning Framework for CTR Prediction Fang Wang Yingxu Wang Dongsheng Li Hansu Gu Tun Lu Peng Zhang Ning Gu SSL 54 47 0 01 Dec 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation Zhen Tian Ting Bai Ziyan Zhang Zhiyuan Xu Kangyi Lin Ji-Rong Wen Wayne Xin Zhao 73 19 0 21 Nov 2022
Deep Multi-Representation Model for Click-Through Rate Prediction Shereen Elsayed Lars Schmidt-Thieme 3DV 25 2 0 18 Oct 2022
$The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)$ The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB) Aditya Desai Anshumali Shrivastava AI4CE 48 3 0 21 Jul 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction Ri-Qi Su Alphonse Houssou Hounye Cong Cao Muzhou Hou 113 1 0 18 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao 77 4 0 17 Jun 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 59 20 0 30 Mar 2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction Buyun Zhang Liangchen Luo Xi Liu Jay Li Zeliang Chen ... Yasmine Badr Jongsoo Park Jiyan Yang Dheevatsa Mudigere Ellie Wen 3DV 52 12 0 11 Mar 2022
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator Rhys Green Matthew Rowe A. Polleri 42 3 0 02 Sep 2021
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation Hojoon Lee Dongyoon Hwang Sunghwan Hong Changyeon Kim Seungryong Kim Jaegul Choo 98 11 0 17 Aug 2021
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 50 6 0 04 Aug 2021
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction Qingyun She Zhiqiang Wang Junlin Zhang 37 1 0 26 Jul 2021
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction Feng Li Bencheng Yan Qingqing Long Pengjie Wang Wei Lin Jian Xu Bo Zheng GNN 115 17 0 17 May 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 79 113 0 21 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table Huifeng Guo Wei Guo Yong Gao Ruiming Tang Xiuqiang He Wenzhi Liu 85 21 0 17 Apr 2021
HSR: Hyperbolic Social Recommender Anchen Li Bo Yang 50 19 0 15 Feb 2021
User Response Prediction in Online Advertising Zhabiz Gharibshah Xingquan Zhu OffRL 115 50 0 07 Jan 2021
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction Kai Wang Chun-Yen Shen Wenye Ma AI4CE 33 3 0 20 Dec 2020
Ensemble Knowledge Distillation for CTR Prediction Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen Zibin Zheng 138 57 0 08 Nov 2020
Field-Embedded Factorization Machines for Click-through rate prediction Harshit Pande 71 15 0 13 Sep 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 96 130 0 12 Sep 2020
COLD: Towards the Next Generation of Pre-Ranking System Zhe Wang Liqin Zhao Biye Jiang Guorui Zhou Xiaoqiang Zhu Kun Gai 56 56 0 31 Jul 2020
Evolving Context-Aware Recommender Systems With Users in Mind Amit Livne Eliad Shem Tov Adir Solomon Achiya Elyasaf Bracha Shapira Lior Rokach 44 23 0 30 Jul 2020
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction Tongwen Huang Qingyun She Zhiqiang Wang Junlin Zhang 137 34 0 06 Jul 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 114 16 0 10 Jun 2020
Feature Interaction based Neural Network for Click-Through Rate Prediction Dafang Zou Leimin Zhang Jiafa Mao Weiguo Sheng 77 3 0 07 Jun 2020