DeepAI AI Chat
Log In Sign Up

Neural Network Based Next-Song Recommendation

by   Kai-Chun Hsu, et al.

Recently, the next-item/basket recommendation system, which considers the sequential relation between bought items, has drawn attention of researchers. The utilization of sequential patterns has boosted performance on several kinds of recommendation tasks. Inspired by natural language processing (NLP) techniques, we propose a novel neural network (NN) based next-song recommender, CNN-rec, in this paper. Then, we compare the proposed system with several NN based and classic recommendation systems on the next-song recommendation task. Verification results indicate the proposed system outperforms classic systems and has comparable performance with the state-of-the-art system.


page 1

page 2

page 3

page 4


Modeling Sequential Recommendation as Missing Information Imputation

Side information is being used extensively to improve the effectiveness ...

Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs

Mobile sequential recommendation was originally designed to find a promi...

Freudian and Newtonian Recurrent Cell for Sequential Recommendation

A sequential recommender system aims to recommend attractive items to us...

Designing a Sequential Recommendation System for Heterogeneous Interactions Using Transformers

While many production-ready and robust algorithms are available for the ...

Recommendation systems with quantum k-NN and Grover's algorithms for data processing

In this article, we discuss the implementation of a quantum recommendati...

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation

The common item-based collaborative filtering framework becomes a typica...

Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers

Bidirectional Transformer architectures are state-of-the-art sequential ...