A Recommender System for Multimedia Art Collections

  • Flora AmatoEmail author
  • Vincenzo Moscato
  • Antonio Picariello
  • Giancarlo Sperlí
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 76)


In this paper we present a novel user-centered recommendation approach for multimedia art collections. In particular, preferences (usually coded in the shape of items’ metadata), opinions (textual comments to which it is possible to associate a particular sentiment), behavior (in the majority of cases logs of past items’ observations and actions made by users in the environment), and feedbacks (usually expressed in the form of ratings) are considered and integrated together with items’ features and context information within a general and unique recommendation framework that can support an intelligent browsing of any multimedia repository. Preliminary experiments show the utility of the proposed strategy to perform different browsing tasks.


  1. 1.
    Albanese, M., d’Acierno, A., Moscato, V., Persia, F., Picariello, A.: A multimedia recommender system. ACM Trans. Internet Techn. 13(1), 3 (2013)CrossRefGoogle Scholar
  2. 2.
    Kabassi, K.: Personalisation systems for cultural tourism. In: Multimedia Services in Intelligent Environments, pp. 101–111. Springer (2013)Google Scholar
  3. 3.
    Karaman, S., Bagdanov, A.D., Landucci, L., D’Amico, G., Ferracani, A., Pezzatini, D., Del Bimbo, A.: Personalized multimedia content delivery on an interactive table by passive observation of museum visitors. Multimedia Tools Appl. 75(7), 3787–3811 (2016)CrossRefGoogle Scholar
  4. 4.
    Colace, F., Santo, M.D., Greco, L., Moscato, V., Picariello, A.: A collaborative user-centered framework for recommending items in online social networks. Comput. Hum. Behav. 51, 694–704 (2015)CrossRefGoogle Scholar
  5. 5.
    Albanese, M., d’Acierno, A., Moscato, V., Persia, F., Picariello, A.: A multimedia semantic recommender system for cultural heritage applications. In: Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), Palo Alto, CA, USA, 18–21 September, pp. 403–410 (2011)Google Scholar
  6. 6.
    Bartolini, I., Moscato, V., Pensa, R.G., Penta, A., Picariello, A., Sansone, C., Sapino, M.L.: Recommending multimedia visiting paths in cultural heritage applications. Multimedia Tools Appl. 75(7), 3813–3842 (2016)CrossRefGoogle Scholar
  7. 7.
    Minutolo, A., Esposito, M., De Pietro, G.: A mobile reasoning system for supporting the monitoring of chronic diseases. Springer, Heidelberg, pp. 225–232 (2012)Google Scholar
  8. 8.
    Adomavicius, G., Sankaranarayanan, R., Sen, S., Tuzhilin, A.: Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Syst. (TOIS) 23(1), 103–145 (2005)CrossRefGoogle Scholar
  9. 9.
    Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.): Recommender Systems Handbook. Springer (2011)Google Scholar
  10. 10.
    Essmaeel, K., Gallo, L., Damiani, E., De Pietro, G., Dipanda, A.: Comparative evaluation of methods for filtering kinect depth data. Multimedia Tools Appl. 74(17), 7331–7354 (2015)CrossRefGoogle Scholar
  11. 11.
    Brancati, N., Caggianese, G., Frucci, M., Gallo, L., Neroni, P.: Experiencing touchless interaction with augmented content on wearable head-mounted displays in cultural heritage applications. In: Personal and Ubiquitous Computing, pp. 1–15Google Scholar
  12. 12.
    Caggianese, G., Gallo, L., De Pietro, G.: Design and preliminary evaluation of a touchless interface for manipulating virtual heritage artefacts. In: 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), pp. 493–500. IEEE (2014)Google Scholar
  13. 13.
    Albanese, M., Chianese, A., d’Acierno, A., Moscato, V., Picariello, A.: A multimedia recommender integrating object features and user behavior. Multimedia Tools Appl. 50(3), 563–585 (2010)CrossRefGoogle Scholar
  14. 14.
    Albanese, M., d’Acierno, A., Moscato, V., Persia, F., Picariello, A.: Modeling recommendation as a social choice problem. In: Proceedings of the 2010 ACM Conference on Recommender Systems, RecSys 2010, Barcelona, Spain, 26–30 September, pp. 329–332 (2010)Google Scholar
  15. 15.
    Amato, F., Mazzeo, A., Moscato, V., Picariello, A.: A framework for semantic interoperability over the cloud. In: Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013, pp. 1259–1264 (2013)Google Scholar
  16. 16.
    Amato, F., Mazzeo, A., Penta, A., Picariello, A.: Using NLP and ontologies for notary document management systems. In: Proceedings - International Workshop on Database and Expert Systems Applications, DEXA, pp. 67–71 (2008)Google Scholar
  17. 17.
    Bartolini, I., Patella, M.: Multimedia queries in digital libraries. In: Data Management in Pervasive Systems, pp. 311–325. Springer (2015)Google Scholar
  18. 18.
    Strang, T., Linnhoff-Popien, C.: A context modeling survey. In: Workshop Proceedings (2004)Google Scholar
  19. 19.
    Colantonio, S., Esposito, M., Martinelli, M., De Pietro, G., Salvetti, O.: A knowledge editing service for multisource data management in remote health monitoring. IEEE Trans. Inf. Technol. Biomed. 16(6), 1096–1104 (2012)CrossRefGoogle Scholar
  20. 20.
    Hart, S.G., Staveland, L.E.: Development of nasa-tlx (task load index): Results of empirical and theoretical research. Adv. Psychol. 52, 139–183 (1988)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Flora Amato
    • 1
    • 2
    Email author
  • Vincenzo Moscato
    • 1
    • 2
  • Antonio Picariello
    • 1
    • 2
  • Giancarlo Sperlí
    • 1
  1. 1.DIETI - Department of Electrical Engineering and Information TechnologyUniversity of Naples “Federico II”NaplesItaly
  2. 2.CINI (Consorzio Nazionale Interuniversitario per L’Informatica) ITEM LabNaplesItaly

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