Title
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems Hao-Jun Michael Shi Dheevatsa Mudigere Maxim Naumov Jiyan Yang 11 118 0 04 Sep 2019
Accelerated learning from recommender systems using multi-armed bandit Meisam Hejazinia Kyler M. Eastman Shu Ye A. Amirabadi Ravi Divvela 18 3 0 16 Aug 2019
MMF: Attribute Interpretable Collaborative Filtering Yixin Su S. Erfani Rui Zhang 8 9 0 03 Aug 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation Hoyeop Lee Jinbae Im Seongwon Jang Hyunsouk Cho Sehee Chung 11 356 0 31 Jul 2019
Multi-modal Predictive Models of Diabetes Progression Ramin Ramazi Christine Perndorfer Emily C Soriano J. Laurenceau Rahmatollah Beheshti 9 16 0 29 Jul 2019
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising Junwei Pan Yizhi Mao A. L. Ruiz Yu Sun Aaron Flores 23 37 0 24 Jul 2019
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 31 1 0 23 Jul 2019
Neural Cross-Domain Collaborative Filtering with Shared Entities M. Vijaikumar S. Shevade M. Murty FedML 19 7 0 19 Jul 2019
Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey Kiran Rama Pradeep Kumar B. Bhasker 16 9 0 17 Jul 2019
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction S. Ktena Alykhan Tejani Lucas Theis Pranay K. Myana D. Dilipkumar Ferenc Huszár Steven Yoo Wenzhe Shi NoLa 11 52 0 15 Jul 2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval Zheng Liu Yu Xing Jianxun Lian Defu Lian Ziyao Li Xing Xie 32 3 0 15 Jul 2019
Neural News Recommendation with Attentive Multi-View Learning Chuhan Wu Fangzhao Wu Mingxiao An Jianqiang Huang Yongfeng Huang Xing Xie 11 273 0 12 Jul 2019
NPA: Neural News Recommendation with Personalized Attention Chuhan Wu Fangzhao Wu Mingxiao An Jianqiang Huang Yongfeng Huang Xing Xie AI4TS 24 322 0 12 Jul 2019
Privileged Features Distillation at Taobao Recommendations Chen Xu Quan Li Junfeng Ge Jinyang Gao Xiaoyong Yang Changhua Pei Fei Sun Jian Wu Hanxiao Sun Wenwu Ou 15 67 0 11 Jul 2019
Neural Input Search for Large Scale Recommendation Models Manas R. Joglekar Cong Li Jay K. Adams Pranav Khaitan Quoc V. Le 17 111 0 10 Jul 2019
Click-Through Rate Prediction with the User Memory Network W. Ouyang Xiuwu Zhang Shukui Ren Li Li Zhaojie Liu Yanlong Du 3DV HAI 14 10 0 09 Jul 2019
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation Xichen Ding Jie Tang T. Liu Cheng Xu Yaping Zhang Feng Shi Qixia Jiang Dan Shen OffRL CML 6 15 0 08 Jul 2019
An Enhanced Ad Event-Prediction Method Based on Feature Engineering Saeid Soheily-Khah Yiming Wu 11 2 0 03 Jul 2019
Deep Personalized Re-targeting Meisam Hejazinia Pavlos Mitsoulis-Ntompos Serena Zhang 16 2 0 03 Jul 2019
Deep Residual Neural Networks for Audio Spoofing Detection M. Alzantot Ziqi Wang Mani B. Srivastava 11 166 0 30 Jun 2019
Efficient Neural Interaction Function Search for Collaborative Filtering Quanming Yao Xiangning Chen James T. Kwok Yong Li Cho-Jui Hsieh 13 43 0 28 Jun 2019
Toward Simulating Environments in Reinforcement Learning Based Recommendations Xiangyu Zhao Long Xia Zhuoye Ding Dawei Yin Jiliang Tang 22 25 0 27 Jun 2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling Guorui Zhou Kailun Wu Weijie Bian Zhao Yang Xiaoqiang Zhu Kun Gai 17 6 0 25 Jun 2019
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU Yu Zhu Yu Gong Qingwen Liu Yingcai Ma Wenwu Ou Junxiong Zhu Beidou Wang Ziyu Guan Deng Cai LRM 14 15 0 24 Jun 2019
High-Performance Deep Learning via a Single Building Block E. Georganas K. Banerjee Dhiraj D. Kalamkar Sasikanth Avancha Anand Venkat Michael J. Anderson G. Henry Hans Pabst A. Heinecke 18 12 0 15 Jun 2019
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index Minjoon Seo Jinhyuk Lee Tom Kwiatkowski Ankur P. Parikh Ali Farhadi Hannaneh Hajishirzi RALM 15 153 0 13 Jun 2019
Real-time Attention Based Look-alike Model for Recommender System Yudan Liu Kaikai Ge Xu-Yao Zhang Leyu Lin 11 44 0 12 Jun 2019
Representation Learning-Assisted Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Shukui Ren Chao Qi Zhaojie Liu Yanlong Du 3DV 9 20 0 11 Jun 2019
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Li Li Heng Zou Xin Xing Zhaojie Liu Yanlong Du 17 55 0 10 Jun 2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen ... Andrey Malevich Dheevatsa Mudigere M. Smelyanskiy Liang Xiong Xuan Zhang GNN 44 290 0 06 Jun 2019
A hybrid machine learning framework for analyzing human decision making through learning preferences Mengzhuo Guo Qingpeng Zhang Xiuwu Liao Youhua Chen Daniel Dajun Zeng 25 8 0 04 Jun 2019
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference Peter Kraft Daniel Kang Deepak Narayanan Shoumik Palkar Peter Bailis Matei A. Zaharia 11 13 0 03 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 28 115 0 02 Jun 2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman ... Wenlin Chen Vijay Rao Bill Jia Liang Xiong M. Smelyanskiy 7 721 0 31 May 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology Eugene Ie Vihan Jain Jing Wang Sanmit Narvekar Ritesh Agarwal ... Vince Gatto Paul Covington Jim McFadden Tushar Chandra Craig Boutilier OffRL 16 69 0 29 May 2019
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes Ari Kobren Pablo Barrio Oksana Yakhnenko Johann Hibschman I. Langmore 13 6 0 28 May 2019
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation Shuai Zhang Yi Tay Lina Yao Bin Wu Aixin Sun VLM 11 23 0 25 May 2019
Learning Cross-Domain Representation with Multi-Graph Neural Network Ouyang Yi Bin Guo Xing Tang Xiuqiang He Jian Xiong Zhiwen Yu AI4CE 39 18 0 24 May 2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction Tongwen Huang Zhiqi Zhang Junlin Zhang 24 273 0 23 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 32 1,790 0 20 May 2019
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative Shunsuke Kitada Hitoshi Iyatomi Yoshifumi Seki 11 8 0 17 May 2019
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks Donghyeon Park Keonwoo Kim Yonggyu Park Jungwoon Shin Jaewoo Kang 21 9 0 16 May 2019
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine Junlin Zhang Tongwen Huang Zhiqi Zhang 19 20 0 15 May 2019
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba Qiwei Chen Huan Zhao Wei Li Pipei Huang Wenwu Ou 34 379 0 15 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 27 116 0 10 May 2019
Embarrassingly Shallow Autoencoders for Sparse Data Harald Steck 11 246 0 08 May 2019
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications Yuanfei Luo Mengshuo Wang Hao Zhou Quanming Yao Wei-Wei Tu Yuqiang Chen Qiang Yang Wenyuan Dai 4 108 0 29 Apr 2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings Feiyang Pan Shuokai Li Xiang Ao Pingzhong Tang Qing He 23 161 0 25 Apr 2019
CPM-sensitive AUC for CTR prediction Zhaocheng Liu Guangxue Yin 12 1 0 23 Apr 2019
Personalized Re-ranking for Recommendation Changhua Pei Yi Zhang Yongfeng Zhang Fei Sun Xiao Lin Hanxiao Sun Jian Wu Peng Jiang Wenwu Ou OffRL 17 6 0 15 Apr 2019