A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation

ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval Virtual Event Norway September, 2020, pp. 89-96, 2020.

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Abstract:

The interactions of users with a recommendation system are in general sparse, leading to the well-known cold-start problem. Side information, such as age, occupation, genre and category, have been widely used to learn latent representations for users and items in order to address the sparsity of users' interactions. Conditional Variationa...More

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