Personal DJ, an Architecture for personalised content delivery

Adam Field; Pieter Hartel; Wim Mooij

doi:10.1145/371920.371921

Personal DJ, an Architecture for personalised content delivery

Adam Field, Pieter Hartel, Wim Mooij

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

57 Citations (Scopus)

41 Downloads (Pure)

Abstract

Automated Personalized Audio is a relatively new concept, currently making its debut on the Web. Personalized audio relies on the existence of information about the music (music metadata) and information about the users (listener profiles). By gathering profile information, personalized audio systems attempt to select appropriate content for each user. This paper introduces the PERSONALDJ architecture for personalized audio. An evaluation of the concept is presented on the basis of data gathered from user tests. These tests were performed with a prototype developed from this architecture using simple mood based music metadata.

Original language	English
Title of host publication	10th International World Wide Web Conference (WWW 2001)
Subtitle of host publication	Conference Proceedings
Place of Publication	New York
Publisher	ACM Press
Pages	1-7
Number of pages	7
ISBN (Print)	1-58113-348-0
DOIs	https://doi.org/10.1145/371920.371921
Publication status	Published - May 2001
Event	10th International World Wide Web Conference, WWW 2001 - Hongkong, Hong Kong Duration: 1 May 2001 → 1 May 2001 Conference number: 10 http://www10.org/

Conference

Conference	10th International World Wide Web Conference, WWW 2001
Abbreviated title	WWW
Country/Territory	Hong Kong
City	Hongkong
Period	1/05/01 → 1/05/01
Internet address	http://www10.org/

Keywords

IR-36870
EWI-949
METIS-203296

Access to Document

10.1145/371920.371921

Field2001personalAccepted author version, 522 KB

Cite this

@inproceedings{534983acf42b47d2bf1ec1a4304b4aab,

title = "Personal DJ, an Architecture for personalised content delivery",

abstract = "Automated Personalized Audio is a relatively new concept, currently making its debut on the Web. Personalized audio relies on the existence of information about the music (music metadata) and information about the users (listener profiles). By gathering profile information, personalized audio systems attempt to select appropriate content for each user. This paper introduces the PERSONALDJ architecture for personalized audio. An evaluation of the concept is presented on the basis of data gathered from user tests. These tests were performed with a prototype developed from this architecture using simple mood based music metadata.",

keywords = "IR-36870, EWI-949, METIS-203296",

author = "Adam Field and Pieter Hartel and Wim Mooij",

note = "Imported from DIES; 10th International World Wide Web Conference, WWW 2001, WWW ; Conference date: 01-05-2001 Through 01-05-2001",

year = "2001",

month = may,

doi = "10.1145/371920.371921",

language = "English",

isbn = "1-58113-348-0",

pages = "1--7",

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publisher = "ACM Press",

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AU - Field, Adam

AU - Hartel, Pieter

AU - Mooij, Wim

N1 - Conference code: 10

PY - 2001/5

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N2 - Automated Personalized Audio is a relatively new concept, currently making its debut on the Web. Personalized audio relies on the existence of information about the music (music metadata) and information about the users (listener profiles). By gathering profile information, personalized audio systems attempt to select appropriate content for each user. This paper introduces the PERSONALDJ architecture for personalized audio. An evaluation of the concept is presented on the basis of data gathered from user tests. These tests were performed with a prototype developed from this architecture using simple mood based music metadata.

AB - Automated Personalized Audio is a relatively new concept, currently making its debut on the Web. Personalized audio relies on the existence of information about the music (music metadata) and information about the users (listener profiles). By gathering profile information, personalized audio systems attempt to select appropriate content for each user. This paper introduces the PERSONALDJ architecture for personalized audio. An evaluation of the concept is presented on the basis of data gathered from user tests. These tests were performed with a prototype developed from this architecture using simple mood based music metadata.

KW - IR-36870

KW - EWI-949

KW - METIS-203296

U2 - 10.1145/371920.371921

DO - 10.1145/371920.371921

M3 - Conference contribution

SN - 1-58113-348-0

SP - 1

EP - 7

BT - 10th International World Wide Web Conference (WWW 2001)

PB - ACM Press

CY - New York

T2 - 10th International World Wide Web Conference, WWW 2001

Y2 - 1 May 2001 through 1 May 2001

ER -

Personal DJ, an Architecture for personalised content delivery

Abstract

Conference

Keywords

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Cite this