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 - 2013/1/1
Y1 - 2013/1/1
N2 - In many applications a user attempts to configure a complex object 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 offer the user various methods to provide the input and generate appropriate recommendations. 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 - In many applications a user attempts to configure a complex object 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 offer the user various methods to provide the input and generate appropriate recommendations. 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.
UR - https://www.scopus.com/pages/publications/84898920230
M3 - Conference contribution
AN - SCOPUS:84898920230
SN - 9781577356226
T3 - AAAI Workshop - Technical Report
SP - 38
EP - 44
BT - Intelligent Techniques for Web Personalization and Recommendation - Papers from the 2013 AAAI Workshop, Technical Report
PB - AI Access Foundation
T2 - 2013 AAAI Workshop
Y2 - 15 July 2013 through 15 July 2013
ER -