loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Fabio Gasparetti ; Claudio Biancalana ; Alessandro Micarelli ; Alfonso Miola and Giuseppe Sansonetti

Affiliation: Roma Tre University, Italy

Keyword(s): Wavelet, Music Recommendation, Signal Processing.

Related Ontology Subjects/Areas/Topics: Context-Awareness ; Mobile Information Systems ; Personalized Web Sites and Services ; Searching and Browsing ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Recommender Systems provide suggestions for items (e.g., movies or songs) to be of use to a user. They must take into account information to deliver more useful (perceived) recommendations. Current music recommender takes an initial input of a song and plays music with similar characteristics, or music that other users have listened to along with the input song. Listening behaviors in terms of temporal information associated to ratings or playbacks are usually ignored. We propose a recommender that predicts the most rated songs that a given user is likely to play in the future analyzing and comparing user listening habits by means of signal processing techniques.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.219.140.227

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Gasparetti, F.; Biancalana, C.; Micarelli, A.; Miola, A. and Sansonetti, G. (2012). WAVELET-BASED MUSIC RECOMMENDATION. In Proceedings of the 8th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8565-08-2; ISSN 2184-3252, SciTePress, pages 399-402. DOI: 10.5220/0003940903990402

@conference{webist12,
author={Fabio Gasparetti. and Claudio Biancalana. and Alessandro Micarelli. and Alfonso Miola. and Giuseppe Sansonetti.},
title={WAVELET-BASED MUSIC RECOMMENDATION},
booktitle={Proceedings of the 8th International Conference on Web Information Systems and Technologies - WEBIST},
year={2012},
pages={399-402},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003940903990402},
isbn={978-989-8565-08-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Web Information Systems and Technologies - WEBIST
TI - WAVELET-BASED MUSIC RECOMMENDATION
SN - 978-989-8565-08-2
IS - 2184-3252
AU - Gasparetti, F.
AU - Biancalana, C.
AU - Micarelli, A.
AU - Miola, A.
AU - Sansonetti, G.
PY - 2012
SP - 399
EP - 402
DO - 10.5220/0003940903990402
PB - SciTePress