Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together academia and industry to critically reflect on the evaluation of recommender systems. Particularly, the workshop aimed to shed light on the different, and maybe even diverging or contradictory perspectives on the evaluation of recommender systems. Papers reporting a reflection on problems regarding recommender systems evaluation and lessons learned were solicited. The workshop combined flash presentations of accepted papers, a keynote from industry, and an interactive part with discussions in break-out rooms as well as in the plenum. The workshop complemented the program of the main conference as it emphasized problems and lessons learned, fostered exchange integrating various perspectives on evaluation, and sought to move the recommender systems community forward as an outcome of the workshop.
%0 Conference Paper
%1 Zangerle_2021
%A Zangerle, Eva
%A Bauer, Christine
%A Said, Alan
%B Proceedings of the Fifteenth ACM Conference on Recommender Systems
%C New York, NY, USA
%D 2021
%I ACM
%K evaluation imported methods music myown recsys
%P 794-795
%R 10.1145/3460231.3470929
%T Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)
%U https://doi.org/10.1145%2F3460231.3470929
%X Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together academia and industry to critically reflect on the evaluation of recommender systems. Particularly, the workshop aimed to shed light on the different, and maybe even diverging or contradictory perspectives on the evaluation of recommender systems. Papers reporting a reflection on problems regarding recommender systems evaluation and lessons learned were solicited. The workshop combined flash presentations of accepted papers, a keynote from industry, and an interactive part with discussions in break-out rooms as well as in the plenum. The workshop complemented the program of the main conference as it emphasized problems and lessons learned, fostered exchange integrating various perspectives on evaluation, and sought to move the recommender systems community forward as an outcome of the workshop.
%@ 9781450384582
@inproceedings{Zangerle_2021,
abstract = {Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together academia and industry to critically reflect on the evaluation of recommender systems. Particularly, the workshop aimed to shed light on the different, and maybe even diverging or contradictory perspectives on the evaluation of recommender systems. Papers reporting a reflection on problems regarding recommender systems evaluation and lessons learned were solicited. The workshop combined flash presentations of accepted papers, a keynote from industry, and an interactive part with discussions in break-out rooms as well as in the plenum. The workshop complemented the program of the main conference as it emphasized problems and lessons learned, fostered exchange integrating various perspectives on evaluation, and sought to move the recommender systems community forward as an outcome of the workshop.},
added-at = {2021-09-16T15:44:46.000+0200},
address = {New York, NY, USA},
author = {Zangerle, Eva and Bauer, Christine and Said, Alan},
biburl = {https://www.bibsonomy.org/bibtex/2e662487077f5e0880b4d76da6355642e/bauerc},
booktitle = {Proceedings of the Fifteenth ACM Conference on Recommender Systems},
doi = {10.1145/3460231.3470929},
eventdate = {27 September 2021- 1 October 2021},
eventtitle = {Fifteenth {ACM} Conference on Recommender Systems},
interhash = {94c6a7ee6086c407222961219849615e},
intrahash = {e662487077f5e0880b4d76da6355642e},
isbn = {9781450384582},
keywords = {evaluation imported methods music myown recsys},
language = {English},
month = sep,
pages = {794-795},
publisher = {{ACM}},
series = {RecSys 2021},
timestamp = {2021-09-16T15:44:46.000+0200},
title = {Perspectives on the Evaluation of Recommender Systems ({PERSPECTIVES})},
url = {https://doi.org/10.1145%2F3460231.3470929},
venue = {Amsterdam, The Netherlands},
year = 2021
}