Proceedings of the 17th International Conference on Data Engineering
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
Discovering relative importance of skyline attributes
Proceedings of the VLDB Endowment
Equip tourists with knowledge mined from travelogues
Proceedings of the 19th international conference on World wide web
Call to order: a hierarchical browsing approach to eliciting users' preference
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Automatic construction of travel itineraries using social breadcrumbs
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Breaking out of the box of recommendations: from items to packages
Proceedings of the fourth ACM conference on Recommender systems
Interactive itinerary planning
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
CompRec-Trip: A composite recommendation system for travel planning
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Interactive regret minimization
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Processing a large number of continuous preference top-k queries
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Proceedings of the 21st ACM international conference on Information and knowledge management
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When planning a trip, one essential task is to find a set of Places-of-Interest (POIs) which can be visited during the trip. Using existing travel guides or websites such as Lonely Planet and TripAdvisor, the user has to either manually work out a desirable set of POIs or take pre-configured travel packages; the former can be time consuming while the latter lacks flexibility. In this demonstration, we propose an Interactive Package configuration System (IPS), which visualizes different candidate packages on a map, and enables users to configure a travel package through simple interactions, i.e., comparing packages and fixing/removing POIs from a package. Compared with existing trip planning systems, we believe IPS strikes the right balance between flexibility and manual effort.