129 citations · 798 across the 46 of their papers we have counts for
9 papers · 1 filter
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong +2
Among the statistical tools for online information diffusion modeling, both epidemic models and Hawkes point processes are popular choices. The former originate from epidemiology,…
Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance
Aditya Mogadala, Umanga Bista, Lexing Xie +1
Images in the wild encapsulate rich knowledge about varied abstract concepts and cannot be sufficiently described with models built only using image-caption pairs containing select…
Action Schema Networks: Generalised Policies with Deep Learning
Sam Toyer, Felipe Trevizan, Sylvie Thiébaux +1
In this paper, we introduce the Action Schema Network (ASNet): a neural network architecture for learning generalised policies for probabilistic planning problems. By mimicking the…
Beyond Views: Measuring and Predicting Engagement in Online Videos
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
The share of videos in the internet traffic has been growing, therefore understanding how videos capture attention on a global scale is also of growing importance. Most current res…
Revisiting revisits in trajectory recommendation
Aditya Krishna Menon, Dawei Chen, Lexing Xie +1
Trajectory recommendation is the problem of recommending a sequence of places in a city for a tourist to visit. It is strongly desirable for the recommended sequence to avoid loops…
A Tutorial on Hawkes Processes for Events in Social Media
Marian-Andrei Rizoiu, Young Lee, Swapnil Mishra +1
This chapter provides an accessible introduction for point processes, and especially Hawkes processes, for modeling discrete, inter-dependent events over continuous time. We start…
PathRec: Visual Analysis of Travel Route Recommendations
Dawei Chen, Dongwoo Kim, Lexing Xie +5
We present an interactive visualisation tool for recommending travel trajectories. This system is based on new machine learning formulations and algorithms for the sequence recomme…
Structured Recommendation
Dawei Chen, Lexing Xie, Aditya Krishna Menon +1
Current recommender systems largely focus on static, unstructured content. In many scenarios, we would like to recommend content that has structure, such as a trajectory of points-…
Online Popularity under Promotion: Viral Potential, Forecasting, and the Economics of Time
Marian-Andrei Rizoiu, Lexing Xie
Modeling the popularity dynamics of an online item is an important open problem in computational social science. This paper presents an in-depth study of popularity dynamics under…