A Social Context-Aware Recommender of Itineraries Between Relevant Points of Interest

  • Dario D’Agostino
  • Fabio Gasparetti
  • Alessandro Micarelli
  • Giuseppe SansonettiEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 618)


In this paper, we present a personalized recommender system able to suggest to the target user itineraries that both meet her preferences and needs, and are sensitive to her physical and social contexts. The recommendation process takes into account different aspects: in addition to the popularity of the points of interest (POIs), inferred by considering, for instance, the number of check-ins on social networking services such as Foursquare, it also includes the user’s profile, the current context of use, and the user’s network of social ties. The system, therefore, consists of four main modules that accomplish the following tasks: (1) the construction of the user’s profile according to her interests and tastes; (2) the creation of the path graph in the user’s proximity; (3) the routing to locate the first k itineraries that match the query; (4) their ranking through a scoring function that considers the POI popularity, the user’s profile, and her physical and social context. The proposed system was evaluated on a sample of 40 real users. Experimental results showed the effectiveness of the proposed recommender.


Location-based services Social networks Recommender systems 


  1. 1.
    Biancalana, C., Gasparetti, F., Micarelli, A., Sansonetti, G.: An approach to social recommendation for context-aware mobile services. ACM Trans. Intell. Syst. Technol. 4(1), 10:1–10:31 (2013)CrossRefGoogle Scholar
  2. 2.
    Biancalana, C., Gasparetti, F., Micarelli, A., Sansonetti, G.: Social semantic query expansion. ACM Trans. Intell. Syst. Technol. 4(4), 60:1–60:43 (2013)CrossRefGoogle Scholar
  3. 3.
    Dey, A.K.: Understanding and using context. Pers. Ubiquitous Comput. 5(1), 4–7 (2001)CrossRefGoogle Scholar
  4. 4.
    Hagen, K., Kramer, R., Hermkes, M., Schumann, B., Mueller, P.: Semantic matching and heuristic search for a dynamic tour guide. In: Frew, A.J. (ed.) Proceedings of the International Conference in Innsbruck, Austria, pp. 149–159. Springer, Vienna (2005)Google Scholar
  5. 5.
    Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. 20(4), 422–446 (2002)CrossRefGoogle Scholar
  6. 6.
    Biancalana, C., Flamini, A., Gasparetti, F., Micarelli, A., Millevolte, S., Sansonetti, G.: Enhancing traditional local search recommendations with context-awareness. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds.) UMAP 2011. LNCS, vol. 6787, pp. 335–340. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  7. 7.
    Hsieh, H.P., Li, C.T., Lin, S.D.: Measuring and recommending time-sensitive routes from location-based data. ACM Trans. Intell. Syst. Technol. 5(3), 45:1–45:27 (2014)CrossRefGoogle Scholar
  8. 8.
    Yoon, H., Zheng, Y., Xie, X., Woo, W.: Social itinerary recommendation from user-generated digital trails. Pers. Ubiquitous Comput. 16(5), 469–484 (2011)CrossRefGoogle Scholar
  9. 9.
    Biancalana, C., Gasparetti, F., Micarelli, A., Miola, A., Sansonetti, G.: Context-aware movie recommendation based on signal processing and machine learning. In: Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation. CAMRa 2011, pp. 5–10. ACM, New York (2011)Google Scholar
  10. 10.
    Arru, G., Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: Signal-based user recommendation on twitter. In: Proceedings of the 22nd International Conference on World Wide Web, WWW 2013 Companion, pp. 941–944. ACM, New York (2013)Google Scholar
  11. 11.
    Brilhante, I., Macedo, J.A., Nardini, F.M., Perego, R., Renso, C.: Where shall we go today?: planning touristic tours with tripbuilder. In: Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management, CIKM 2013, pp. 757–762. ACM, New York (2013)Google Scholar
  12. 12.
    Zheng, Y., Xie, X.: Learning travel recommendations from user-generated GPS traces. ACM Trans. Intell. Syst. Technol. 2(1), 2:1–2:29 (2011)CrossRefGoogle Scholar
  13. 13.
    Waga, K., Tabarcea, A., Franti, P.: Recommendation of points of interest from user generated data collection. In: International Conference on Collaborative Computing: Networking, Applications and Worksharing, October 2012, pp. 550–555 (2012)Google Scholar
  14. 14.
    Chen, Y.Y., Cheng, A.J., Hsu, W.: Travel recommendation by mining people attributes and travel group types from community-contributed photos. IEEE Trans. Multimedia 15(6), 1283–1295 (2013)CrossRefGoogle Scholar
  15. 15.
    Schaller, R., Elsweiler, D.: Itinerary recommenders: how do users customize their routes and what can we learn from them? In: Proceedings of the 5th Information Interaction in Context Symposium, pp. 185–194. ACM, New York (2014)Google Scholar
  16. 16.
    Takayuki, S., Munenobu, N., Naoki, S., Yoshihiro, M., Keiichi, Y., Minoru, I.: A personal navigation system with functions to compose tour schedules based on multiple conflicting criteria. IPSJ Digital Courier 46(11), 2590–2598 (2005)Google Scholar
  17. 17.
    Gurini, D.F., Gasparetti, F., Micarelli, A., Sansonetti, G.: iSCUR: interest and sentiment-based community detection for user recommendation on twitter. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, G.-J. (eds.) UMAP 2014. LNCS, vol. 8538, pp. 314–319. Springer, Heidelberg (2014)Google Scholar
  18. 18.
    Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: Enhancing social recommendation with sentiment communities. In: Wang, J., et al. (eds.) WISE 2015. LNCS, vol. 9419, pp. 308–315. Springer, Heidelberg (2015). doi: 10.1007/978-3-319-26187-4_28 CrossRefGoogle Scholar
  19. 19.
    Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: Analysis of sentiment communities in online networks. In: SIGIR (2015)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Dario D’Agostino
    • 1
  • Fabio Gasparetti
    • 1
  • Alessandro Micarelli
    • 1
  • Giuseppe Sansonetti
    • 1
    Email author
  1. 1.Department of EngineeringRoma Tre UniversityRomeItaly

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