Skip to main content

Multi-user Itinerary Planning for Optimal Group Preference

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10411)

Abstract

The increasing popularity of location-based applications creates new opportunities for users to travel together. In this paper, we study a novel spatio-social optimization problem, i.e., Optimal Group Route, for multi-user itinerary planning. With our problem formulation, users can individually specify sources and destinations, preferences on the Point-of-interest (POI) categories, as well as the distance constraints. The goal is to find a itinerary that can be traversed by all the users while maximizing the group’s preference of POI categories in the itinerary. Our work advances existing group trip planning studies by maximizing the group’s social experience. To this end, individual preferences of POI categories are aggregated by considering the agreement and disagreement among group members. Furthermore, planning a multi-user itinerary on large real-world networks is computationally challenging. We propose one approximate solution with bounded approximation ratio and one exact solution which computes the optimal itinerary by exploring a limited number of paths in the road network. In addition, an effective compression algorithm is developed to reduce the size of the network, providing a significant acceleration in our exact solution. We conduct extensive empirical evaluations on the road network and POI datasets of Los Angeles and our results confirm the effectiveness and efficiency of our solutions.

L. Bonomi—Joint first author.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-64367-0_1
  • Chapter length: 21 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   64.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-64367-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   84.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.
Fig. 11.

Notes

  1. 1.

    After data cleaning.

  2. 2.

    We discarded the trivial instances, which result in empty or single-category meeting graphs.

References

  1. Cao, X., Chen, L., Cong, G., Xiao, X.: Keyword-aware optimal route search. VLDB Endow. 5(11), 1136–1147 (2012)

    CrossRef  Google Scholar 

  2. Chen, H., Ku, W.S., Sun, M.T., Zimmermann, R.: The multi-rule partial sequenced route query. In: GIS 2008, pp. 10:1–10:10 (2008)

    Google Scholar 

  3. Kanza, Y., Levin, R., Safra, E., Sagiv, Y.: Interactive route search in the presence of order constraints. VLDB Endow. 3(1–2), 117–128 (2010)

    CrossRef  Google Scholar 

  4. Hashem, T., Hashem, T., Ali, M.E., Kulik, L.: Group trip planning queries in spatial databases. In: Nascimento, M.A., Sellis, T., Cheng, R., Sander, J., Zheng, Y., Kriegel, H.-P., Renz, M., Sengstock, C. (eds.) SSTD 2013. LNCS, vol. 8098, pp. 259–276. Springer, Heidelberg (2013). doi:10.1007/978-3-642-40235-7_15

    CrossRef  Google Scholar 

  5. Chen, G., Wu, S., Zhou, J., Tung, A.: Automatic itinerary planning for traveling services. TKDE 26(3), 514–527 (2014)

    Google Scholar 

  6. Hashem, T., Barua, S., Ali, M.E., Kulik, L., Tanin, E.: Efficient computation of trips with friends and families. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM 2015, pp. 931–940. ACM, New York (2015)

    Google Scholar 

  7. Samrose, S., Hashem, T., Barua, S., Ali, M.E., Uddin, M.H., Mahmud, M.I.: Efficient computation of group optimal sequenced routes in road networks. In: 2015 16th IEEE International Conference on Mobile Data Management, vol. 1, pp. 122–127, June 2015

    Google Scholar 

  8. Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms, 3rd edn. MIT Press, Cambridge (2009)

    MATH  Google Scholar 

  9. Amer-Yahia, S., Roy, S.B., Chawlat, A., Das, G., Yu, C.: Group recommendation: semantics and efficiency. VLDB Endow. 2(1), 754–765 (2009)

    CrossRef  Google Scholar 

  10. Dijkstra, E.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)

    MathSciNet  CrossRef  MATH  Google Scholar 

  11. Li, F., Cheng, D., Hadjieleftheriou, M., Kollios, G., Teng, S.-H.: On trip planning queries in spatial databases. In: Bauzer Medeiros, C., Egenhofer, M.J., Bertino, E. (eds.) SSTD 2005. LNCS, vol. 3633, pp. 273–290. Springer, Heidelberg (2005). doi:10.1007/11535331_16

    CrossRef  Google Scholar 

  12. Kanza, Y., Safra, E., Sagiv, Y., Doytsher, Y.: Heuristic algorithms for route-search queries over geographical data. In: GIS 2008, pp. 11:1–11:10 (2008)

    Google Scholar 

  13. Roy, S.B., Das, G., Amer-Yahia, S., Yu, C.: Interactive itinerary planning. In: ICDE, pp. 15–26 (2011)

    Google Scholar 

  14. Sharifzadeh, M., Kolahdouzan, M., Shahabi, C.: The optimal sequenced route query. VLDB J. 17(4), 765–787 (2008)

    CrossRef  Google Scholar 

  15. Zhang, X., Asano, Y., Yoshikawa, M.: Mutually beneficial confluent routing. IEEE Transactions on Knowledge and Data Engineering (2016). Preprint

    Google Scholar 

  16. Shang, S., Chen, L., Wei, Z., Jensen, C.S., Wen, J.R., Kalnis, P.: Collective travel planning in spatial networks. IEEE Trans. Knowl. Data Eng. 28(5), 1132–1146 (2016)

    CrossRef  Google Scholar 

  17. Ahmadi, E., Nascimento, M.A.: k-optimal meeting points based on preferred paths. In: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, pp. 47:1–47:4. ACM, New York (2016)

    Google Scholar 

  18. Jahan, R., Hashem, T., Barua, S.: Group trip scheduling (GTS) queries in spatial databases. In: Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, 21–24 March 2017, pp. 390–401 (2017)

    Google Scholar 

  19. Demiryurek, U., Banaei-Kashani, F., Shahabi, C.: TransDec: a spatiotemporal query processing framework for transportation systems. In: 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), pp. 1197–1200, March 2010

    Google Scholar 

Download references

Acknowledgement

The authors wish to thank the anonymous reviewers for their valuable comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liyue Fan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Fan, L., Bonomi, L., Shahabi, C., Xiong, L. (2017). Multi-user Itinerary Planning for Optimal Group Preference. In: , et al. Advances in Spatial and Temporal Databases. SSTD 2017. Lecture Notes in Computer Science(), vol 10411. Springer, Cham. https://doi.org/10.1007/978-3-319-64367-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-64367-0_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64366-3

  • Online ISBN: 978-3-319-64367-0

  • eBook Packages: Computer ScienceComputer Science (R0)