Machine Learning · Computer Science
Recurrent Point Processes for Dynamic Review Models
Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev, Jannis Schuecker +2
2020-01-16
Machine Learning · Computer Science
Recurrent Point Review Models
Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev, Christian Bauckhage +1
2020-12-11
Machine Learning · Computer Science
When Point Process Meets RNNs: Predicting Fine-Grained User Interests with Mutual Behavioral Infectivity
Tong Chen, Lin Wu, Yang Wang, Jun Zhang +2
2017-10-24
Computer Vision and Pattern Recognition · Computer Science
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction
Yatao Zhong, Bicheng Xu, Guang-Tong Zhou, Luke Bornn +1
2018-08-15
Machine Learning · Computer Science
Meta-Learning for Neural Network-based Temporal Point Processes
Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa +3
2024-01-30
Machine Learning · Computer Science
Modeling Events and Interactions through Temporal Processes -- A Survey
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso +4
2023-07-24
Social and Information Networks · Computer Science
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop
Yichen Wang, Evangelos Theodorou, Apurv Verma, Le Song
2018-05-23
Social and Information Networks · Computer Science
A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media
Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran, Le Song +1
2015-11-16
Machine Learning · Computer Science
Variational Policy for Guiding Point Processes
Yichen Wang, Grady Williams, Evangelos Theodorou, Le Song
2017-11-13
Machine Learning · Computer Science
Neural Temporal Point Processes: A Review
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann
2021-08-26
Information Retrieval · Computer Science
NRPA: Neural Recommendation with Personalized Attention
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang +3
2019-05-31
Machine Learning · Computer Science
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering
Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur +1
2020-12-04
Social and Information Networks · Computer Science
Continuous-Time User Modeling in the Presence of Badges: A Probabilistic Approach
Ali Khodadadi, Seyed Abbas Hosseini, Erfan Tavakoli, Hamid R. Rabiee
2017-02-08
Social and Information Networks · Computer Science
Latent Self-Exciting Point Process Model for Spatial-Temporal Networks
Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George Tita
2014-05-02