In this paper, we propose an approach to handle conditional preferences in recommender systems. A quantitative conditional preference model based on domain knowledge is introduced. The inheritance property in concept trees and bipolar property in preference statements are adopted when interpreting conditional preference rules. Group preferences are merged from personal preferences with consideration of manipulability. A graphical user interface is developed for visualization of domain knowledge, conditional preference rules, personal and group preferences.
Description
Handling conditional preferences in recommender systems
%0 Conference Paper
%1 paper:yu:2009
%A Yu, Zhiyong
%A Yu, Zhiwen
%A Zhou, Xingshe
%A Nakamura, Yuichi
%B IUI '09: Proceedings of the 13th International Conference on Intelligent User Interfaces
%C New York, NY, USA
%D 2009
%I ACM
%K 2009 IUI recommender to-read
%P 407--412
%R http://doi.acm.org/10.1145/1502650.1502709
%T Handling conditional preferences in recommender systems
%U http://portal.acm.org/citation.cfm?id=1502709
%X In this paper, we propose an approach to handle conditional preferences in recommender systems. A quantitative conditional preference model based on domain knowledge is introduced. The inheritance property in concept trees and bipolar property in preference statements are adopted when interpreting conditional preference rules. Group preferences are merged from personal preferences with consideration of manipulability. A graphical user interface is developed for visualization of domain knowledge, conditional preference rules, personal and group preferences.
%@ 978-1-60558-168-2
@inproceedings{paper:yu:2009,
abstract = {In this paper, we propose an approach to handle conditional preferences in recommender systems. A quantitative conditional preference model based on domain knowledge is introduced. The inheritance property in concept trees and bipolar property in preference statements are adopted when interpreting conditional preference rules. Group preferences are merged from personal preferences with consideration of manipulability. A graphical user interface is developed for visualization of domain knowledge, conditional preference rules, personal and group preferences.},
added-at = {2009-04-10T09:54:54.000+0200},
address = {New York, NY, USA},
author = {Yu, Zhiyong and Yu, Zhiwen and Zhou, Xingshe and Nakamura, Yuichi},
biburl = {https://www.bibsonomy.org/bibtex/22495c38467a84a8307e923712543e78d/mschuber},
booktitle = {IUI '09: Proceedings of the 13th International Conference on Intelligent User Interfaces},
description = {Handling conditional preferences in recommender systems},
doi = {http://doi.acm.org/10.1145/1502650.1502709},
interhash = {625c8385b2eba652ab5d4c0ea78ca155},
intrahash = {2495c38467a84a8307e923712543e78d},
isbn = {978-1-60558-168-2},
keywords = {2009 IUI recommender to-read},
location = {Sanibel Island, Florida, USA},
pages = {407--412},
publisher = {ACM},
timestamp = {2009-04-10T09:54:54.000+0200},
title = {Handling conditional preferences in recommender systems},
url = {http://portal.acm.org/citation.cfm?id=1502709},
year = 2009
}