Predictability in human mobility: From individual to collective (vision paper)
Human mobility is the foundation of urban dynamics and its prediction significantly benefits
various downstream location-based services. Nowadays, while deep learning approaches …
various downstream location-based services. Nowadays, while deep learning approaches …
Upper bound on the predictability of rating prediction in recommender systems
The task of rating prediction has undergone extensive scrutiny, employing diverse modeling
approaches to enhance accuracy. However, it remains uncertain whether a maximum …
approaches to enhance accuracy. However, it remains uncertain whether a maximum …
Multi-order attributes information fusion via hypergraph matching for popular fashion compatibility analysis
Popular fashion compatibility modeling aims to quantitatively assess the compatibility of a
set of wearable items for everyday pairings and clothing purchases to assist human decision …
set of wearable items for everyday pairings and clothing purchases to assist human decision …
Leveraging Action Knowledge from Product Reviews to Enhance Human-Centered Recommender Systems: A Knowledge Graph-Based Framework
F Zablith - Information Systems Frontiers, 2024 - Springer
Actions that people aim to do are considered one of the main drivers behind purchase
decisions and uncovering people's needs in a human-centered manner. Such actions are …
decisions and uncovering people's needs in a human-centered manner. Such actions are …
Leveraging recommendations using a multiplex graph database
Purpose By applying targeted graph algorithms, the method used by the authors enables
effective prediction of user interactions and thus fulfils the complex requirements of modern …
effective prediction of user interactions and thus fulfils the complex requirements of modern …