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The influence of personal values on music taste : Towards value-based music recommendations. / Manolios, Sandy; Hanjalic, Alan; Liem, Cynthia C.S.

RecSys'19: Proceedings of the 13th ACM Conference on Recommender Systems . New York : Association for Computing Machinery (ACM), 2019. p. 501-505.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Harvard

Manolios, S, Hanjalic, A & Liem, CCS 2019, The influence of personal values on music taste: Towards value-based music recommendations. in RecSys'19: Proceedings of the 13th ACM Conference on Recommender Systems . Association for Computing Machinery (ACM), New York, pp. 501-505, 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, 16/09/19. https://doi.org/10.1145/3298689.3347021

APA

Manolios, S., Hanjalic, A., & Liem, C. C. S. (2019). The influence of personal values on music taste: Towards value-based music recommendations. In RecSys'19: Proceedings of the 13th ACM Conference on Recommender Systems (pp. 501-505). Association for Computing Machinery (ACM). https://doi.org/10.1145/3298689.3347021

Vancouver

Manolios S, Hanjalic A, Liem CCS. The influence of personal values on music taste: Towards value-based music recommendations. In RecSys'19: Proceedings of the 13th ACM Conference on Recommender Systems . New York: Association for Computing Machinery (ACM). 2019. p. 501-505 https://doi.org/10.1145/3298689.3347021

Author

Manolios, Sandy ; Hanjalic, Alan ; Liem, Cynthia C.S. / The influence of personal values on music taste : Towards value-based music recommendations. RecSys'19: Proceedings of the 13th ACM Conference on Recommender Systems . New York : Association for Computing Machinery (ACM), 2019. pp. 501-505

BibTeX

@inproceedings{9070554b2f2142d9a23fe45245a72099,
title = "The influence of personal values on music taste: Towards value-based music recommendations",
abstract = "The feld of recommender systems has a lot to gain from the feld of psychology. Indeed, many psychology researchers have investigated relations between models that describe humans and consumption preferences. One example of this is personality, which has been shown to be a valid construct to describe people. As a consequence, personality-based recommenders have already proven to be a lead toward improving recommendations, by adapting them to their users' traits. Beyond personality, there are more ways to describe a person's identity. One of these ways is to consider personal values: what is important for the users in life at the most abstract level. Being complementary to personality traits, values may give another lead towards better user understanding. In this paper, we investigate this, taking music as a use case. We use a marketing interview technique to elicit 22 users' personal values connected to their musical preferences. We show that personal values indeed play a role in people's music preferences, and are the frst to propose a map linking personal values to music preferences. We see this map as a frst step in devising a value-based user model for music recommender systems.",
keywords = "Explainable Recommender Systems, Music Recommendations, Musical Taste, Novel Applications, Personal values, Psychology of Music, User Modelling, OA-Fund TU Delft",
author = "Sandy Manolios and Alan Hanjalic and Liem, {Cynthia C.S.}",
year = "2019",
month = sep,
day = "10",
doi = "10.1145/3298689.3347021",
language = "English",
pages = "501--505",
booktitle = "RecSys'19",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",
note = "13th ACM Conference on Recommender Systems, RecSys 2019 ; Conference date: 16-09-2019 Through 20-09-2019",

}

RIS

TY - GEN

T1 - The influence of personal values on music taste

T2 - 13th ACM Conference on Recommender Systems, RecSys 2019

AU - Manolios, Sandy

AU - Hanjalic, Alan

AU - Liem, Cynthia C.S.

PY - 2019/9/10

Y1 - 2019/9/10

N2 - The feld of recommender systems has a lot to gain from the feld of psychology. Indeed, many psychology researchers have investigated relations between models that describe humans and consumption preferences. One example of this is personality, which has been shown to be a valid construct to describe people. As a consequence, personality-based recommenders have already proven to be a lead toward improving recommendations, by adapting them to their users' traits. Beyond personality, there are more ways to describe a person's identity. One of these ways is to consider personal values: what is important for the users in life at the most abstract level. Being complementary to personality traits, values may give another lead towards better user understanding. In this paper, we investigate this, taking music as a use case. We use a marketing interview technique to elicit 22 users' personal values connected to their musical preferences. We show that personal values indeed play a role in people's music preferences, and are the frst to propose a map linking personal values to music preferences. We see this map as a frst step in devising a value-based user model for music recommender systems.

AB - The feld of recommender systems has a lot to gain from the feld of psychology. Indeed, many psychology researchers have investigated relations between models that describe humans and consumption preferences. One example of this is personality, which has been shown to be a valid construct to describe people. As a consequence, personality-based recommenders have already proven to be a lead toward improving recommendations, by adapting them to their users' traits. Beyond personality, there are more ways to describe a person's identity. One of these ways is to consider personal values: what is important for the users in life at the most abstract level. Being complementary to personality traits, values may give another lead towards better user understanding. In this paper, we investigate this, taking music as a use case. We use a marketing interview technique to elicit 22 users' personal values connected to their musical preferences. We show that personal values indeed play a role in people's music preferences, and are the frst to propose a map linking personal values to music preferences. We see this map as a frst step in devising a value-based user model for music recommender systems.

KW - Explainable Recommender Systems

KW - Music Recommendations

KW - Musical Taste

KW - Novel Applications

KW - Personal values

KW - Psychology of Music

KW - User Modelling

KW - OA-Fund TU Delft

UR - http://www.scopus.com/inward/record.url?scp=85073393864&partnerID=8YFLogxK

U2 - 10.1145/3298689.3347021

DO - 10.1145/3298689.3347021

M3 - Conference contribution

SP - 501

EP - 505

BT - RecSys'19

PB - Association for Computing Machinery (ACM)

CY - New York

Y2 - 16 September 2019 through 20 September 2019

ER -

ID: 62482603