27 citations · 40 across the 9 of their papers we have counts for
4 papers · 1 filter
LSTM Networks for Online Cross-Network Recommendations
Dilruk Perera, Roger Zimmermann
Cross-network recommender systems use auxiliary information from multiple source networks to create holistic user profiles and improve recommendations in a target network. However,…
Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data
Dilruk Perera, Roger Zimmermann
The abundance of information in web applications make recommendation essential for users as well as applications. Despite the effectiveness of existing recommender systems, we find…
Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations
Dilruk Perera, Roger Zimmermann
The overwhelming volume and complexity of information in online applications make recommendation essential for users to find information of interest. However, two major limitations…
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users
Dilruk Perera, Roger Zimmermann
A major drawback of cross-network recommender solutions is that they can only be applied to users that are overlapped across networks. Thus, the non-overlapped users, which form th…