Article

Content-based music filtering system with editable user profile

Authors:

Yoshinori Hijikata,

Kazuhiro Iwahama,

Shogo NishidaAuthors Info & Claims

SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

Pages 1050 - 1057

https://doi.org/10.1145/1141277.1141526

Published: 23 April 2006 Publication History

Abstract

Information filtering systems, which recommend appropriate information to users from enormous amount of information, are becoming popular. One method of information filtering is content-based filtering that compares a user profile with a content model. Many systems using content-based filtering deal with text data, and few systems deal with music data. We propose a content-based filtering system for music data by using a decision tree. Compared with other filtering methods, a decision tree can eliminate noise features, which are not related to the user's preference, and can allow the user to edit the learned user profile. We conduct an experiment by using real music data and users to validate the effectiveness of our system compared with other filtering methods.

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Index Terms

Content-based music filtering system with editable user profile
1. Information systems
  1. Information retrieval

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cover image ACM Conferences

SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

April 2006

1967 pages

ISBN:1595931082

DOI:10.1145/1141277

Conference Chair:
Hisham M. Haddad
Kennesaw State University, Kennesaw, Georgia

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 23 April 2006

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SAC06: The 2006 ACM Symposium on Applied Computing

April 23 - 27, 2006

Dijon, France

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Ge YLiu SFu ZTan JLi ZXu SLi YXian YZhang Y(2024)A Survey on Trustworthy Recommender SystemsACM Transactions on Recommender Systems10.1145/3652891Online publication date: 13-Apr-2024
https://doi.org/10.1145/3652891
Qi ZHuang YWu JLi S(2023)FoodS and FoodIM: Food-Testing Item Recommendation Models for Two Different Users with Different Usage AbilitiesProceedings of the 2023 4th Asia Service Sciences and Software Engineering Conference10.1145/3634814.3634815(1-9)Online publication date: 27-Oct-2023
https://dl.acm.org/doi/10.1145/3634814.3634815
Srivastava ABala PKumar B(2020)New perspectives on gray sheep behavior in E-commerce recommendationsJournal of Retailing and Consumer Services10.1016/j.jretconser.2019.02.01853(101764)Online publication date: Mar-2020
https://doi.org/10.1016/j.jretconser.2019.02.018
TACHIBANA KTAKAGI Y(2019)Difference between Human and Machine in Feeling about Similarity of MelodiesInternational Symposium on Affective Science and Engineering10.5057/isase.2019-C000046ISASE2019(1-4)Online publication date: 2019
https://doi.org/10.5057/isase.2019-C000046
Yamaguchi TNishimura TTakadama K(2019)Awareness-Based Recommendation Toward a New PreferenceHuman Performance Technology10.4018/978-1-5225-8356-1.ch029(572-593)Online publication date: 2019
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Riyana SNatwichai J(2018)Privacy preservation for recommendation databasesService Oriented Computing and Applications10.1007/s11761-018-0248-y12:3-4(259-273)Online publication date: 1-Dec-2018
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Amato FMoscato VPicariello AColace FSanto MSchreiber FTanca L(2017)Big Data Meets Digital Cultural HeritageJournal on Computing and Cultural Heritage 10.1145/301228610:1(1-23)Online publication date: 14-Apr-2017
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Bartolini IMoscato VPensa RPenta APicariello ASansone CSapino M(2016)Recommending multimedia visiting paths in cultural heritage applicationsMultimedia Tools and Applications10.1007/s11042-014-2062-775:7(3813-3842)Online publication date: 1-Apr-2016
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Yamaguchi TNishimura TTakadama K(2015)Awareness-Based Recommendation toward a New PreferenceHandbook of Research on Advancements in Robotics and Mechatronics10.4018/978-1-4666-7387-8.ch009(219-241)Online publication date: 2015
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