Adaptive Representation of Digital Resources Search Results in Personal Learning Environment

  • Daouda Sawadogo
  • Cyrille Suire
  • Ronan Champagnat
  • Pascal Estraillier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9112)


The massive explosion of digital resources available in the user’s personal environment creates many issues. Users aim to select among a mass of heterogeneous digital resources, the best one to use in the activity. Traditionally, this process is time consuming and requires a lot of effort for the user to optimize selecting parameters. That often makes unexploitable digital resources available in repositories or digital libraries. In this paper, we proposed an approach that allows a user to have new ways of interpreting the resource search results. We proposed a method for adaptive visual representation of these results based on the context of use and the user profile. This approach use an adaptive tf-idf scoring and adaptive visual representation to allow relevant digital resources selection. This study was conducted as part of the design of a personal environment for consolidated digital resource management called PRISE ( PeRsonal Interactive research Smart Environment).


Visual representation Relevance Digital resources User profile Personal learning environment 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Gao, X.: Towards the next generation intelligent BPM – in the era of big data. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 4–9. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  2. 2.
    Lamprier, S., Amghar, T., Levrat, B., Saubion, F.: Organize information seeking results. Clustering, distribution of information and easy access. Document numérique 13(1), 9–39, April 2010Google Scholar
  3. 3.
    Sawadogo, D., Champagnat, R., Estraillier, P.: PRISE : adaptive environment for consolidated management of digital resources. In: UMAP Workshops (2014)Google Scholar
  4. 4.
    Sawadogo, D., Champagnat, R., Estraillier, P.:Adaptive digital resource modelling for interactive system. In: International Conference on Control, Decision and Information Technologies (CoDIT), pp. 663–668. IEEE (2014)Google Scholar
  5. 5.
    Ahn, J.W., Brusilovsky, P.: Adaptive visualization of search results: Bringing user models to visual analytics. Information Visualization 8(3), 167–179 (2009)CrossRefGoogle Scholar
  6. 6.
    Ahn, J.W., Brusilovsky, P.: What You See Is What You Search : Adaptive Visual Search Framework for the Web, pp. 1049–1050 (2010)Google Scholar
  7. 7.
    Parra, D., Brusilovsky, P., Trattner, C.: See what you want to see: visual user-driven approach for hybrid recommendation. In: Proceedings of the 19th International Conference on Intelligent User Interfaces, pp. 235–240 (2014)Google Scholar
  8. 8.
    Drucker, J.: Graphesis : visual forms of knowledge production (2014)Google Scholar
  9. 9.
    Brusilovsky, P., Millán, E.: User models for adaptive hypermedia and adaptive educational systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 3–53. Springer, Heidelberg (2007) CrossRefGoogle Scholar
  10. 10.
    Ho, H.N., Rabah, M., Nowakowski, S., Estraillier, P.: A trace-based decision making in interactive application: case of tamagotchi systems. In: International Conference on Control, Decision and Information Technologies (CoDIT), pp. 123–127. IEEE (2014)Google Scholar
  11. 11.
    Wu, H.C., Luk, R.W.P., Wong, K.F., Kwok, K.L.: Interpreting TF-IDF term weights as making relevance decisions. ACM Transactions on Information Systems 26(3), 1–37 (2008)CrossRefGoogle Scholar
  12. 12.
    Verbert, K., Parra, D., Brusilovsky, P., Duval, E.: Visualizing recommendations to support exploration, transparency and controllability. In: Proceedings of the 2013 International Conference on Intelligent User Interfaces, pp. 351–362. ACM (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Daouda Sawadogo
    • 1
  • Cyrille Suire
    • 1
  • Ronan Champagnat
    • 1
  • Pascal Estraillier
    • 1
  1. 1.L3i LaboratoryUniversity of La RochelleLa RochelleFrance

Personalised recommendations