DocumentCode :
3145672
Title :
CompRec-Trip: A composite recommendation system for travel planning
Author :
Xie, Min ; Lakshmanan, Laks V S ; Wood, Peter T.
Author_Institution :
Dept. of Comput. Sci., Univ. of British Columbia, Vancouver, BC, Canada
fYear :
2011
fDate :
11-16 April 2011
Firstpage :
1352
Lastpage :
1355
Abstract :
Classical recommender systems provide users with a list of recommendations where each recommendation consists of a single item, e.g., a book or a DVD. However, applications such as travel planning can benefit from a system capable of recommending packages of items, under a user-specified budget and in the form of sets or sequences. In this context, there is a need for a system that can recommend top-k packages for the user to choose from. In this paper, we propose a novel system, CompRec-Trip, which can automatically generate composite recommendations for travel planning. The system leverages rating information from underlying recommender systems, allows flexible package configuration and incorporates users´ cost budgets on both time and money. Furthermore, the proposed CompRec-Trip system has a rich graphical user interface which allows users to customize the returned composite recommendations and take into account external local information.
Keywords :
graphical user interfaces; mobile computing; recommender systems; travel industry; CompRec-Trip; composite recommendation system; graphical user interface; recommender systems; recommending packages; top-fc packages; travel planning; user-specified budget; Approximation algorithms; Approximation methods; Databases; Heuristic algorithms; Planning; Recommender systems; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2011 IEEE 27th International Conference on
Conference_Location :
Hannover
ISSN :
1063-6382
Print_ISBN :
978-1-4244-8959-6
Electronic_ISBN :
1063-6382
Type :
conf
DOI :
10.1109/ICDE.2011.5767954
Filename :
5767954
Link To Document :
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