Title
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases Han Zhang Quan Gan David Wipf Weinan Zhang 23 6 0 04 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 12 4 0 04 Dec 2023
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix Yun Yue Zhiling Ye Jiadi Jiang Yongchao Liu Ke Zhang ODL 16 1 0 04 Dec 2023
Knowledge Graph Driven Recommendation System Algorithm Chaoyang Zhang Yanan Li Shen Chen Siwei Fan Wei Li 13 3 0 01 Dec 2023
Experimental Analysis of Large-scale Learnable Vector Storage Compression Hailin Zhang Penghao Zhao Xupeng Miao Yingxia Shao Zirui Liu Tong Yang Bin Cui 19 11 0 27 Nov 2023
Classification of Tabular Data by Text Processing Keshav Ramani Daniel Borrajo LMTD 14 0 0 21 Nov 2023
Discovering Effective Policies for Land-Use Planning with Neuroevolution Risto Miikkulainen Olivier Francon Daniel Young Elliot Meyerson Clemens Schwingshackl Jacob Bieker Hugo Cunha B. Hodjat 18 0 0 21 Nov 2023
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta Wei Zhang Dai Li Chen Liang Fang Zhou Zhongke Zhang ... Huayu Li Yunnan Wu Zhan Shu Mindi Yuan Sri Reddy 22 7 0 16 Nov 2023
Towards Long-term Annotators: A Supervised Label Aggregation Baseline Haoyu Liu Fei-Yue Wang Minmin Lin Runze Wu Renyu Zhu Shiwei Zhao Kai Wang Tangjie Lv Changjie Fan 6 1 0 15 Nov 2023
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction Qi Liu Xuyang Hou Haoran Jin Jin Chen Zhe Wang Defu Lian Tan Qu Jia Cheng Jun Lei 8 0 0 15 Nov 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 19 2 0 14 Nov 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems Hang Yin Kuang-Hung Liu Mengying Sun Yuxin Chen Buyun Zhang ... Huayu Li Zhengxing Chen Wen-Yen Chen Jiyan Yang Wei Wen OffRL 11 2 0 14 Nov 2023
Untargeted Black-box Attacks for Social Recommendations Wenqi Fan Shijie Wang Xiao Wei Xiaowei Mei Qing Li MLAU AAML 19 2 0 13 Nov 2023
Modeling User Viewing Flow Using Large Language Models for Article Recommendation Zhenghao Liu Zulong Chen Moufeng Zhang Shaoyang Duan Hong Wen Liangyue Li Nan Li Yu Gu Ge Yu 20 6 0 12 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 17 0 0 10 Nov 2023
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems Huan Gui Ruoxi Wang Ke Yin Long Jin Maciej Kula Taibai Xu Lichan Hong Ed H. Chi 43 2 0 10 Nov 2023
DistDNAS: Search Efficient Feature Interactions within 2 Hours Tunhou Zhang W. Wen Igor Fedorov Xi Liu Buyun Zhang ... Wen-Yen Chen Yiping Han Feng Yan Hai Helen Li Yiran Chen 13 1 0 01 Nov 2023
Farthest Greedy Path Sampling for Two-shot Recommender Search Yufan Cao Tunhou Zhang W. Wen Feng Yan Hai Helen Li Yiran Chen 16 0 0 31 Oct 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou Dawei Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 36 10 0 28 Oct 2023
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation Ramin Giahi Reza Yousefi Maragheh Nima Farrokhsiar Jianpeng Xu Jason H. D. Cho Evren Körpeoglu Sushant Kumar Kannan Achan 16 0 0 26 Oct 2023
Private Learning with Public Features Walid Krichene Nicolas Mayoraz Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 21 6 0 24 Oct 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data Qi-Le Zhou Han-Jia Ye Le-Ye Wang De-Chuan Zhan 29 7 0 23 Oct 2023
Knowledge Graph Context-Enhanced Diversified Recommendation Xiao-lin Liu Liangwei Yang Zhiwei Liu Mingdai Yang Chen Wang Hao Peng Philip S. Yu 28 4 0 20 Oct 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Janet Liu Ya-Qin Zhang FedML 30 5 0 15 Oct 2023
Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data S.M.F. Sani Seyed Abbas Hosseini Hamid R. Rabiee OffRL 12 1 0 07 Oct 2023
On the Embedding Collapse when Scaling up Recommendation Models Xingzhuo Guo Kai Yan Ximei Wang Baixu Chen Haohan Wang Mingsheng Long 11 21 0 06 Oct 2023
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems Samuel Hsia Alicia Golden Bilge Acun Newsha Ardalani Zach DeVito Gu-Yeon Wei David Brooks Carole-Jean Wu MoE 38 9 0 04 Oct 2023
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training Selim F. Yilmaz Benjamin Ghaemmaghami A. Singh Benjamin Cho Leo Orshansky Lei Deng Michael Orshansky AI4TS 23 0 0 27 Sep 2023
Diversify and Conquer: Bandits and Diversity for an Enhanced E-commerce Homepage Experience Sangeet Jaiswal Korah T Malayil Saif Jawaid Sreekanth Vempati 16 0 0 25 Sep 2023
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations Phanideep Gampa Farnoosh Javadi Belhassen Bayar Ainur Yessenalina 76 0 0 25 Sep 2023
Online Efficient Secure Logistic Regression based on Function Secret Sharing Jing Liu Jamie Cui Cen Chen 11 5 0 18 Sep 2023
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness Liyao Jiang Chenglin Li Haolan Chen Xiao-Rong Gao Xinwang Zhong Yang Qiu Shani Ye Di Niu 25 0 0 15 Sep 2023
Neuro-Symbolic Recommendation Model based on Logic Query Maonian Wu Bang-Chao Chen Shaojun Zhu Bo Zheng Wei Peng Mingyi Zhang NAI 51 3 0 14 Sep 2023
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing Wangyang Ying Dongjie Wang Kunpeng Liu Leilei Sun Yanjie Fu 14 13 0 08 Sep 2023
MvFS: Multi-view Feature Selection for Recommender System Youngjune Lee Yeongjong Jeong Keunchan Park SeongKu Kang 17 12 0 05 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects Haomin Wen Youfang Lin Lixia Wu Xiaowei Mao Tianyu Cai ... Guangyin Jin Yiji Zhao Roger Zimmermann Jieping Ye Huaiyu Wan AI4TS 34 4 0 03 Sep 2023
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction Jun Li Jingjian Wang Hongwei Wang Xing Deng Jielong Chen ... Zekun Wang Guanjie Xu Geng Zhang Feng Shi Hualei Liu AI4TS 19 2 0 30 Aug 2023
RecMind: Large Language Model Powered Agent For Recommendation Yancheng Wang Ziyan Jiang Zheng Chen Fan Yang Yingxue Zhou Eunah Cho Xing Fan Xiaojiang Huang Yanbin Lu Yingzhen Yang LLMAG LM&Ro LRM 28 85 0 28 Aug 2023
Label Denoising through Cross-Model Agreement Yu-Xiang Wang Xin Xin Zaiqiao Meng J. Jose Fuli Feng NoLa 15 1 0 27 Aug 2023
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems Tianchi Cai Shenliao Bao Jiyan Jiang Shiji Zhou Wenpeng Zhang Lihong Gu Jinjie Gu Guannan Zhang OffRL 25 2 0 25 Aug 2023
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection Shi-jing Zhang Xin Yan Xuejiao Yang Binfeng Jia Shuangyang Wang 21 9 0 24 Aug 2023
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints Han Huang Li Shen Deheng Ye Wei Liu 15 0 0 24 Aug 2023
LLMRec: Benchmarking Large Language Models on Recommendation Task Junling Liu Chao-Hong Liu Peilin Zhou Qichen Ye Dading Chong ... Yueqi Xie Yuwei Cao Shoujin Wang Chenyu You Philip S.Yu ALM LRM 28 32 0 23 Aug 2023
Adversarial Collaborative Filtering for Free Huiyuan Chen Xiaoting Li Vivian Lai Chin-Chia Michael Yeh Yujie Fan Yan Zheng Mahashweta Das Hao Yang AAML 15 6 0 20 Aug 2023
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings Amit Jaiswal Yu Xiong 15 1 0 17 Aug 2023
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction Dong Wang Kave Salamatian Yunqing Xia Weiwei Deng Qi Zhang 21 12 0 17 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 24 1 0 16 Aug 2023
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction S. Silva R. Silva 17 0 0 15 Aug 2023
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models Kabir Nagrecha Lingyi Liu P. Delgado Prasanna Padmanabhan OffRL AI4CE 25 5 0 13 Aug 2023
Deep Context Interest Network for Click-Through Rate Prediction Xuyang Hou Zhe Wang Qi Liu Tan Qu Jia Cheng Jun Lei 3DV 15 7 0 11 Aug 2023