Predicting Music Relistening Behavior Using the ACT-R Framework

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

Original language	English
Title of host publication	Proceedings of the 15th ACM Conference on Recommender Systems (RecSys 2021)
Pages	702-707
Number of pages	6
ISBN (Electronic)	9781450384582
DOIs	https://doi.org/10.1145/3460231.3478846
Publication status	Published - 13 Sept 2021

Fields of science

@inproceedings{f0c89b02a0cc46b0a5967a0fd084e0bc,

title = "Predicting Music Relistening Behavior Using the ACT-R Framework",

author = "Markus Reiter-Haas and Emilia Parada-Cabaleiro and Markus Schedl and E. Motamedi and Marko Tkalcic and Elisabeth Lex",

year = "2021",

month = sep,

day = "13",

doi = "10.1145/3460231.3478846",

language = "English",

pages = "702--707",

booktitle = "Proceedings of the 15th ACM Conference on Recommender Systems (RecSys 2021)",

}

TY - GEN

T1 - Predicting Music Relistening Behavior Using the ACT-R Framework

AU - Reiter-Haas, Markus

AU - Parada-Cabaleiro, Emilia

AU - Schedl, Markus

AU - Motamedi, E.

AU - Tkalcic, Marko

AU - Lex, Elisabeth

PY - 2021/9/13

Y1 - 2021/9/13

UR - https://www.scopus.com/pages/publications/85115639231

U2 - 10.1145/3460231.3478846

DO - 10.1145/3460231.3478846

M3 - Conference proceedings

SP - 702

EP - 707

BT - Proceedings of the 15th ACM Conference on Recommender Systems (RecSys 2021)

ER -