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Found 4 papers, 0 papers with code
Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View
Along this vein, we propose a Mixture of Hawkes-based Temporal Network Embeddings (MHNE) model to capture the aspect-driven neighborhood formation of networks.
Beyond Similarity: Relation Embedding with Dual Attentions for Item-based Recommendation
Given the effectiveness and ease of use, Item-based Collaborative Filtering (ICF) methods have been broadly used in industry in recent years.
Recommendation with Attribute-aware Product Networks: A Representation Learning Model
Specifically, eRAN first maps items connected in attribute networks to low-dimensional embedding vectors through a deep autoencoder, and then an attention mechanism is applied to model the attractions of attributes to users, from which personalized item representation can be derived.
Social Media Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Data
First, public opinions in online media dominate traditional polls in Taiwan election prediction in terms of both predictive power and timeliness.
