N. Tintarev, und J. Masthoff. Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop, Seite 801--810. Washington, DC, USA, IEEE Computer Society, (2007)
DOI: 10.1109/icdew.2007.4401070
Zusammenfassung
This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages of an explanation facility, and describe how existing measures can be used to evaluate the quality of explanations. Since explanations are not independent of the recommendation process, we consider how the ways recommendations are presented may affect explanations. Next, we look at different ways of interacting with explanations. The paper is illustrated with examples of explanations throughout, where possible from existing applications.
%0 Conference Paper
%1 citeulike:3096299
%A Tintarev, Nava
%A Masthoff, Judith
%B Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
%C Washington, DC, USA
%D 2007
%I IEEE Computer Society
%J Data Engineering Workshop, 2007 IEEE 23rd International Conference on
%K explanation recommender
%P 801--810
%R 10.1109/icdew.2007.4401070
%T A Survey of Explanations in Recommender Systems
%U http://dx.doi.org/10.1109/icdew.2007.4401070
%X This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages of an explanation facility, and describe how existing measures can be used to evaluate the quality of explanations. Since explanations are not independent of the recommendation process, we consider how the ways recommendations are presented may affect explanations. Next, we look at different ways of interacting with explanations. The paper is illustrated with examples of explanations throughout, where possible from existing applications.
%@ 978-1-4244-0831-3
@inproceedings{citeulike:3096299,
abstract = {{This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages of an explanation facility, and describe how existing measures can be used to evaluate the quality of explanations. Since explanations are not independent of the recommendation process, we consider how the ways recommendations are presented may affect explanations. Next, we look at different ways of interacting with explanations. The paper is illustrated with examples of explanations throughout, where possible from existing applications.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {Washington, DC, USA},
author = {Tintarev, Nava and Masthoff, Judith},
biburl = {https://www.bibsonomy.org/bibtex/271a1bb1671cf985f890fb963b1f75a4c/aho},
booktitle = {Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop},
citeulike-article-id = {3096299},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1547550.1547664},
citeulike-linkout-1 = {http://dx.doi.org/10.1109/icdew.2007.4401070},
citeulike-linkout-2 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4401070},
doi = {10.1109/icdew.2007.4401070},
interhash = {69cd11234d7a0e21f58444b1d8f4144f},
intrahash = {71a1bb1671cf985f890fb963b1f75a4c},
isbn = {978-1-4244-0831-3},
journal = {Data Engineering Workshop, 2007 IEEE 23rd International Conference on},
keywords = {explanation recommender},
pages = {801--810},
posted-at = {2017-02-23 20:17:48},
priority = {2},
publisher = {IEEE Computer Society},
series = {ICDEW '07},
timestamp = {2018-03-19T12:40:48.000+0100},
title = {{A Survey of Explanations in Recommender Systems}},
url = {http://dx.doi.org/10.1109/icdew.2007.4401070},
year = 2007
}