Conference Paper

CompRec-Trip: A composite recommendation system for travel planning.

DOI: 10.1109/ICDE.2011.5767954 Conference: Proceedings of the 27th International Conference on Data Engineering, ICDE 2011, April 11-16, 2011, Hannover, Germany
Source: DBLP

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 rec- ommendations for travel planning. The system leverages rating information from underlying recommender systems, allows flex- ible 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. I. INTRODUCTION

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May 16, 2014

Min Xie