research
∙
08/18/2021
Practical and Secure Federated Recommendation with Personalized Masks
Federated recommendation is a new notion of private distributed recommen...
share
research
∙
01/01/2021
Adam revisited: a weighted past gradients perspective
Adaptive learning rate methods have been successfully applied in many fi...
research
∙
07/03/2020
Privacy Threats Against Federated Matrix Factorization
Matrix Factorization has been very successful in practical recommendatio...
research
∙
02/11/2020
Vertex-reinforced Random Walk for Network Embedding
In this paper, we study the fundamental problem of random walk for netwo...
research
∙
05/30/2019
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
In fashion recommender systems, each product usually consists of multipl...
research
∙
05/28/2019
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
An effective content recommendation in modern social media platforms sho...
research
∙
02/01/2019
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Learning word embeddings has received a significant amount of attention ...
research
∙
07/20/2018
Deep Transfer Learning for Cross-domain Activity Recognition
Human activity recognition plays an important role in people's daily lif...
research
∙
11/28/2017
Topological Recurrent Neural Network for Diffusion Prediction
In this paper, we study the problem of using representation learning to ...
research
∙
09/22/2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Graph is an important data representation which appears in a wide divers...
research
∙
05/15/2017
Active Learning for Graph Embedding
Graph embedding provides an efficient solution for graph analysis by con...
research
∙
01/17/2017
From Community Detection to Community Profiling
Most existing community-related studies focus on detection, which aim to...
research
∙
10/31/2016
