TY - GEN
T1 - Recommending improved configurations for complex objects with an application in travel planning
AU - Savir, Amihai
AU - Brafman, Ronen I.
AU - Shani, Guy
PY - 2013/11/20
Y1 - 2013/11/20
N2 - Users often configure complex objects with many possible internal choices. Recommendation engines that automatically configure such objects given user preferences and constraints, may provide much value in such cases. These applications generate appropriate recommendations based on user preferences. It is likely, though, that the user will not be able to fully express her preferences and constraints, requiring a phase of manual tuning of the recommended configuration. We suggest that following this manual revision, additional constraints and preferences can be automatically collected, and the recommended configuration can be automatically improved. Specifically, we suggest a recommender component that takes as input an initial manual configuration of a complex object, deduces certain user preferences and constraints from this configuration, and constructs an alternative configuration. We show an appealing application for our method in complex trip planning, and demonstrate its usability in a user study.
AB - Users often configure complex objects with many possible internal choices. Recommendation engines that automatically configure such objects given user preferences and constraints, may provide much value in such cases. These applications generate appropriate recommendations based on user preferences. It is likely, though, that the user will not be able to fully express her preferences and constraints, requiring a phase of manual tuning of the recommended configuration. We suggest that following this manual revision, additional constraints and preferences can be automatically collected, and the recommended configuration can be automatically improved. Specifically, we suggest a recommender component that takes as input an initial manual configuration of a complex object, deduces certain user preferences and constraints from this configuration, and constructs an alternative configuration. We show an appealing application for our method in complex trip planning, and demonstrate its usability in a user study.
KW - Recommender systems
KW - Reconfiguration
KW - Trip planning
UR - http://www.scopus.com/inward/record.url?scp=84887602962&partnerID=8YFLogxK
U2 - 10.1145/2507157.2507196
DO - 10.1145/2507157.2507196
M3 - Conference contribution
AN - SCOPUS:84887602962
SN - 9781450324090
T3 - RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems
SP - 391
EP - 394
BT - RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems
T2 - 7th ACM Conference on Recommender Systems, RecSys 2013
Y2 - 12 October 2013 through 16 October 2013
ER -