TY - GEN
T1 - Mining preferences from superior and inferior examples
AU - Jiang, Bin
AU - Pei, Jian
AU - Lin, Xuemin
AU - Cheung, David W.
AU - Han, Jiawei
PY - 2008
Y1 - 2008
N2 - Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing campaigns. In this paper, we identify an interesting and practical problem of mining user preferences: in a multidimensional space where the user preferences on some categorical attributes are unknown, from some superior and inferior examples provided by a user, can we learn about the user's preferences on those categorical attributes? We model the problem systematically and show that mining user preferences from superior and inferior examples is challenging. Although the problem has great potential in practice, to the best of our knowledge, it has not been explored systematically before. As the first attempt to tackle the problem, we propose a greedy method and show that our method is practical using real data sets and synthetic data sets.
AB - Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing campaigns. In this paper, we identify an interesting and practical problem of mining user preferences: in a multidimensional space where the user preferences on some categorical attributes are unknown, from some superior and inferior examples provided by a user, can we learn about the user's preferences on those categorical attributes? We model the problem systematically and show that mining user preferences from superior and inferior examples is challenging. Although the problem has great potential in practice, to the best of our knowledge, it has not been explored systematically before. As the first attempt to tackle the problem, we propose a greedy method and show that our method is practical using real data sets and synthetic data sets.
KW - Inferior examples
KW - Preferences
KW - Skyline
KW - Superior examples
UR - http://www.scopus.com/inward/record.url?scp=65449132475&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=65449132475&partnerID=8YFLogxK
U2 - 10.1145/1401890.1401940
DO - 10.1145/1401890.1401940
M3 - Conference contribution
AN - SCOPUS:65449132475
SN - 9781605581934
T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
SP - 390
EP - 398
BT - KDD 2008 - Proceedings of the 14th ACMKDD International Conference on Knowledge Discovery and Data Mining
T2 - 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2008
Y2 - 24 August 2008 through 27 August 2008
ER -