ABSTRACT. This paper describes the approach of the D2KLab team to the RecSys. Challenge 2018 that focuses on the task of playlist completion.

We propose an ensemble strategy of different recurrent neural networks leveraging pre-trained embeddings representing tracks, artists, albums, and titles as ...

An Ensemble Approach of Recurrent. Neural Networks using Pre-Trained. Embeddings for Playlist Completion. Diego Monti1. Enrico Palumbo2,3,1. Giuseppe Rizzo2.

We propose an ensemble strategy of different recurrent neural networks leveraging pre-trained embeddings representing tracks, artists, albums, and titles as ...

We propose an ensemble strategy of different recurrent neural networks leveraging pre-trained embeddings representing tracks, artists, albums, and titles as ...

An ensemble approach of recurrent neural networks using pre-trained embeddings for playlist completion. PUBLICATION: An ensemble approach of recurrent ...

We propose an ensemble strategy of different recurrent neural networks leveraging pre-trained embeddings representing tracks, artists, albums, and titles as ...

Abstract. This paper describes the approach of the D2KLab team to the RecSys Challenge 2018 that focuses on the task of playlist completion.

3) Neural network approaches: [Paper] [Code] An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion (RecSys'18 ...

An ensemble approach of recurrent neural networks using pre-trained embeddings for playlist completion. D Monti, E Palumbo, G Rizzo, P Lisena, R Troncy, M�...