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Found 2 essays matching the above criteria.

1. 1. Synthetic Graph Generation at Scale : A novel framework for generating large graphs using clustering, generative models and node embeddings

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Johan Hammarstedt; [2022]
   Keywords : Data Anonymization; Graph Learning; Generative Graph Modeling; Graph Clustering; Node Embedding; Synthetic Data; Dataanonymisering; Grafinlärning; Generativa graf-modeller; Graf klustring; Länk prediktion; Nodinbäddning; Syntetisk data;

   Abstract : The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to data augmentation of rare diseases in the brain, the ability to generate synthetic data has multiple applications in various domains. READ MORE

3. 2. Music Recommendations; Approximating user distributions to address the cold start problem

   University essay from Lunds universitet/Statistiska institutionen

   Author : Johan Hammarstedt; [2020]
   Keywords : Music recommendation Content based filtering Collaborative filtering Matrix factorization user-feature distribution; Technology and Engineering;

   Abstract : In today's data driven society the world is at a point of information overload. As people rely on Google for information and other platforms such as Netflix and Spotify for entertainment, the need for relevant filtering of content has never been higher. As a result, recommendation systems have seen a great surge in demand. READ MORE