Recommender Systems act as a personalized decision guides, aiding users in decisions on matters related to personal taste. Most previous research on Recommender Systems has focused on the statistical accuracy of the algorithms driving the systems, with little emphasis on interface issues and the user's perspective. The goal of this research was to examine the role of transprency (user understanding of why a particular recommendation was made) in Recommender Systems. To explore this issue, we conducted a user study of five music Recommender Systems. Preliminary results indicate that users like and feel more confident about recommendations that they perceive as transparent.
%0 Conference Paper
%1 506619
%A Sinha, Rashmi
%A Swearingen, Kirsten
%B CHI '02: CHI '02 extended abstracts on Human factors in computing systems
%C New York, NY, USA
%D 2002
%I ACM
%K imported recommender recommendersystems systems
%P 830--831
%R http://doi.acm.org/10.1145/506443.506619
%T The role of transparency in recommender systems
%U http://portal.acm.org/citation.cfm?doid=506443.506619
%X Recommender Systems act as a personalized decision guides, aiding users in decisions on matters related to personal taste. Most previous research on Recommender Systems has focused on the statistical accuracy of the algorithms driving the systems, with little emphasis on interface issues and the user's perspective. The goal of this research was to examine the role of transprency (user understanding of why a particular recommendation was made) in Recommender Systems. To explore this issue, we conducted a user study of five music Recommender Systems. Preliminary results indicate that users like and feel more confident about recommendations that they perceive as transparent.
%@ 1-58113-454-1
@inproceedings{506619,
abstract = {Recommender Systems act as a personalized decision guides, aiding users in decisions on matters related to personal taste. Most previous research on Recommender Systems has focused on the statistical accuracy of the algorithms driving the systems, with little emphasis on interface issues and the user's perspective. The goal of this research was to examine the role of transprency (user understanding of why a particular recommendation was made) in Recommender Systems. To explore this issue, we conducted a user study of five music Recommender Systems. Preliminary results indicate that users like and feel more confident about recommendations that they perceive as transparent.},
added-at = {2010-01-19T08:59:12.000+0100},
address = {New York, NY, USA},
author = {Sinha, Rashmi and Swearingen, Kirsten},
biburl = {https://www.bibsonomy.org/bibtex/250091214b14dba0eb99ddfc04d28c92f/wnpxrz},
booktitle = {CHI '02: CHI '02 extended abstracts on Human factors in computing systems},
description = {The role of transparency in recommender systems},
doi = {http://doi.acm.org/10.1145/506443.506619},
interhash = {c925c858adadee9c6fb26aad71645815},
intrahash = {50091214b14dba0eb99ddfc04d28c92f},
isbn = {1-58113-454-1},
keywords = {imported recommender recommendersystems systems},
location = {Minneapolis, Minnesota, USA},
pages = {830--831},
publisher = {ACM},
timestamp = {2010-01-19T08:59:12.000+0100},
title = {The role of transparency in recommender systems},
url = {http://portal.acm.org/citation.cfm?doid=506443.506619},
year = 2002
}