Papers
Discrete Factorization Machines for Fast Feature-based Recommendation
Han Liu, Xiangnan He, Fuli Feng et al.
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation
Guiliang Liu, Oliver Schulte
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network
Dongliang Liao, Weiqing Liu, Yuan Zhong et al.
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction
Yuxuan Liang, Songyu Ke, Junbo Zhang et al.
Lightweight Label Propagation for Large-Scale Network Data
De-Ming Liang, Yu-Feng Li
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation
Duc-Trong Le, Hady W. Lauw, Yuan Fang
Integrative Network Embedding via Deep Joint Reconstruction
Di Jin, Meng Ge, Liang Yang et al.
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents
Liang Hu, Songlei Jian, Longbing Cao et al.
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks
Xiaotian Han, Chuan Shi, Senzhang Wang et al.
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management
Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina et al.
Recommendation with Multi-Source Heterogeneous Information
Li Gao, Hong Yang, Jia Wu et al.
Interpretable Drug Target Prediction Using Deep Neural Representation
Kyle Yingkai Gao, Achille Fokoue, Heng Luo et al.
Deep Attributed Network Embedding
Hongchang Gao, Heng Huang
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network
Yujie Fan, Yiming Zhang, Yanfang Ye et al.
Recurrent Collaborative Filtering for Unifying General and Sequential Recommender
Disheng Dong, Xiaolin Zheng, Ruixun Zhang et al.
Improving Implicit Recommender Systems with View Data
Jingtao Ding, Guanghui Yu, Xiangnan He et al.
Learning to Recognize Transient Sound Events using Attentional Supervision
Szu-Yu Chou, Jyh-Shing Jang, Yi-Hsuan Yang
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation
Weiyu Cheng, Yanyan Shen, Yanmin Zhu et al.
Predicting Complex Activities from Ongoing Multivariate Time Series
Weihao Cheng, Sarah Erfani, Rui Zhang et al.
NeuCast: Seasonal Neural Forecast of Power Grid Time Series
Pudi Chen, Shenghua Liu, Chuan Shi et al.
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
Kun Chen, Kechao Cai, Longbo Huang et al.
Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation
Buru Chang, Yonggyu Park, Donghyeon Park et al.
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data
Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima et al.
Sampling for Approximate Bipartite Network Projection
Nesreen Ahmed, Nick Duffield, Liangzhen Xia
Robust Multi-view Learning via Half-quadratic Minimization
Yonghua Zhu, Xiaofeng Zhu, Wei Zheng