Event2Vec: Learning event representations using spatial-temporal information for recommendation
Y Wang, J Tang - Advances in Knowledge Discovery and Data Mining …, 2019 - Springer
Event-based social networks (EBSN), such as meetup. com and plancast. com, have
witnessed increased popularity and rapid growth in recent years. In EBSN, a user can …
witnessed increased popularity and rapid growth in recent years. In EBSN, a user can …
A spatial–temporal hypergraph based method for service recommendation in the Mobile Internet of Things-enabled service platform
Z Jia, Y Fan, C Wei, R Yan - Advanced Engineering Informatics, 2023 - Elsevier
With the rapid progress of Mobile Internet of Things (MIoT), Location-Based Services (LBSs)
have become widely popular due to the deployment of diverse devices and facilities. The …
have become widely popular due to the deployment of diverse devices and facilities. The …
[HTML][HTML] IMGC-GNN: A multi-granularity coupled graph neural network recommendation method based on implicit relationships
In the application recommendation field, collaborative filtering (CF) method is often
considered to be one of the most effective methods. As the basis of CF-based …
considered to be one of the most effective methods. As the basis of CF-based …
SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation
C Zhang, W Zheng, Q Liu, J Nie, H Zhang - Expert Systems with …, 2022 - Elsevier
Session-based recommendation, which aims at predicting subsequent user actions based
on anonymous sessions, plays a significant role in many online services. Based on the …
on anonymous sessions, plays a significant role in many online services. Based on the …
A multi-label multi-view learning framework for in-app service usage analysis
The service usage analysis, aiming at identifying customers' messaging behaviors based on
encrypted App traffic flows, has become a challenging and emergent task for service …
encrypted App traffic flows, has become a challenging and emergent task for service …
Personalized session-based recommendation using graph attention networks
Y Xie, Z Li, T Qin, F Tseng, K Johannes… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
Personalized session-based recommendation systems aim to predict the next items that a
user would be interested in based on previously recorded user interactions. The task …
user would be interested in based on previously recorded user interactions. The task …
Session-based recommendation with heterogeneous graph neural networks
L Xu, WD Xi, CD Wang - 2021 International Joint Conference …, 2021 - ieeexplore.ieee.org
The aim of session-based recommendation is to predict the next-clicked item based on the
anonymous behavior sequence. The existing works on session-based recommendation …
anonymous behavior sequence. The existing works on session-based recommendation …
V2S: a tool for translating video recordings of mobile app usages into replayable scenarios
M Havranek, C Bernal-Cárdenas… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Screen recordings are becoming increasingly important as rich software artifacts that inform
mobile application development processes. However, the amount of manual effort required …
mobile application development processes. However, the amount of manual effort required …
Smartphone app usage analysis: datasets, methods, and applications
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …
users has increased dramatically over the last decade. These personal devices, which are …