Search Results for author: Dilruk Perera

Found 5 papers, 0 papers with code

Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations

no code implementations25 Aug 2020 Dilruk Perera, Roger Zimmermann

The solution first learns historical user models in the target network by aggregating user preferences from multiple source networks.

LSTM Networks for Online Cross-Network Recommendations

no code implementations25 Aug 2020 Dilruk Perera, Roger Zimmermann

Existing models (1) fail to capture complex non-linear relationships in user interactions, and (2) are designed for offline settings hence, not updated online with incoming interactions to capture the dynamics in the recommender environment.

Recommendation Systems

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