From the March 2014 issue
Automatic Itinerary Planning for Traveling Services
By Gang Chen, Sai Wu, Jingbo Zhou, and Anthony K.H. Tung
Creating an efficient and economic trip plan is the most annoying job for a backpack traveler. Although travel agency can provide some predefined itineraries, they are not tailored for each specific customer. Previous efforts address the problem by providing an automatic itinerary planning service, which organizes the points-of-interests (POIs) into a customized itinerary. Because the search space of all possible itineraries is too costly to fully explore, to simplify the complexity, most work assume that user's trip is limited to some important POIs and will complete within one day. To address the above limitation, in this paper, we design a more general itinerary planning service, which generates multiday itineraries for the users. In our service, all POIs are considered and ranked based on the users' preference. The problem of searching the optimal itinerary is a team orienteering problem (TOP), a well-known NP-complete problem. To reduce the processing cost, a two-stage planning scheme is proposed. In its preprocessing stage, single-day itineraries are precomputed via the MapReduce jobs. In its online stage, an approximate search algorithm is used to combine the single day itineraries. In this way, we transfer the TOP problem with no polynomial approximation into another NP-complete problem (set-packing problem) with good approximate algorithms. Experiments on real data sets show that our approach can generate high-quality itineraries efficiently.
Editorials and Announcements
- Get Your Journals as eBooks for Free
- TKDE celebrates its 25th Anniversary. Editor-in-Chief Jian Pei says, "We are celebrating the 25th Anniversary of TKDE. Since its first issue in March 1989, TKDE has published 2,981 articles, and another 220 articles in the early access portal. With 898 submissions and 79 accepted articles in 2012, TKDE is now the premier journal in the broad and general fields of data management, data mining, and knowledge engineering. We thank all the authors, reviewers, and readers for their continuing support to TKDE. As always, we are eager to hear your ideas and suggestions, and will do our best to meet your expectations. With all your passions, contributions, and supports, TKDE is embracing the new era of big data and big data analytics. Happy birthday to TKDE!"
- eBooks of issues of TKDE can now be downloaded from the Computer Society Digital Library
- Editorial: State of the Transactions (January 2014)
- Editorial (August 2013)
- New EIC Editorial (Feb 2013)
- Outgoing EIC Editorial (Feb 2013)
- State of the Journal (Feb 2012)
- EIC Editorial (January 2011)
- Special Section on the 27th International Conference on Data Engineering (ICDE 2011)(Oct 2012)
- Special Section on Keyword Search on Structured Data (Dec 2011)
- Cloud Data Management (Sept 2011)
- Special Section on the 26th International Conference on Data Engineering (Aug 2011)
Access recently published TKDE articles
Subscribe to the RSS feed of latest TKDE content added to the digital library.
Sign up for the Transactions Connection newsletter.
IEEE Transactions on Knowledge and Data Engineering (TKDE) is an archival journal published monthly designed to inform researchers, developers, managers, strategic planners, users, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area.
Read the full scope of TKDE