Beyond Item Recommendation: Using Recommendations to Stimulate Knowledge Sharing in Group Decisions

  • Müslüm AtasEmail author
  • Alexander Felfernig
  • Martin Stettinger
  • Thi Ngoc Trang Tran
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10540)


The intensity of domain knowledge exchange among group members is an important factor that directly influences group decision quality. The more frequent information is exchanged among group members, the higher the quality of the corresponding decision. In this paper we present results of an empirical study conducted with groups of students – the task of each group was to take a decision regarding the exam topics the group prefers. This group decision had to be taken on the basis of a group decision support environment with included recommendation functionality and a discussion forum that allows for information exchange among group members. Depending on the included variant of the group recommendation algorithm, groups received recommendations that varied in terms of recommendation diversity. The results of the study show that increased recommendation diversity leads to an increased degree of information exchange among group members.


Group recommender systems Group decision making Decision quality Information exchange 


  1. 1.
    Adomavicius, G., Bockstedt, J., Curley, S., Zhang, J.: Recommender systems, consumer preferences, and anchoring effects. In: Decisions@RecSys2011 Workshop, Chicago, IL, USA, pp. 35–42. ACM (2011)Google Scholar
  2. 2.
    Boratto, L., Carta, S.: The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation. J. Intell. Inf. Syst. (JIIS) 45(2), 221–245 (2015)CrossRefGoogle Scholar
  3. 3.
    Chen, L., deGemmis, M., Felfernig, A., Lops, P., Ricci, F., Semeraro, G.: Human decision making and recommender systems. ACM Trans. Interact. Intell. Syst. 3(3) (2013). Article no. 17Google Scholar
  4. 4.
    Chen, Y., Pu, P.: CoFeel: emotional social interface in group recommender systems. In: RecSys 2012 Workshop on Interfaces for Recommender Systems, Dublin, Ireland, pp. 48–55 (2012)Google Scholar
  5. 5.
    O’Connor, M., Cosley, D., Konstan, J., Riedl, J.: PolyLens: a recommmender system for groups of users. In: European Conference on Computer-Supported Cooperative Work, pp. 199–218. ACM (2001)Google Scholar
  6. 6.
    Felfernig, A., Zehentner, C., Ninaus, G., Grabner, H., Maalej, W., Pagano, D., Weninger, L., Reinfrank, F.: Group decision support for requirements negotiation. In: Ardissono, L., Kuflik, T. (eds.) UMAP 2011. LNCS, vol. 7138, pp. 105–116. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-28509-7_11 CrossRefGoogle Scholar
  7. 7.
    Felfernig, A.: Biases in decision making. In: International Workshop on Decision Making and Recommender Systems 2014, pp. 32–37. CEUR Proceedings (2014)Google Scholar
  8. 8.
    Felfernig, A., Atas, M., Tran, T.N.T., Stettinger, M., Erdeniz, S.P., Leitner, G.: An analysis of group recommendation heuristics for high- and low-involvement items. In: Benferhat, S., Tabia, K., Ali, M. (eds.) IEA/AIE 2017. LNCS (LNAI), vol. 10350, pp. 335–344. Springer, Cham (2017). doi: 10.1007/978-3-319-60042-0_39 CrossRefGoogle Scholar
  9. 9.
    Felfernig, A., Stettinger, M., Leitner, G.: Fostering knowledge exchange using group recommendations. In: RecSys 2015 Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2015), Vienna, Austria (2015)Google Scholar
  10. 10.
    Ninaus, G., Felfernig, A., Stettinger, M., Reiterer, S., Leitner, G., Weninger, L., Schanil, W.: IntelliReq: intelligent techniques for software requirements engineering. In: European Conference on AI, Prestigious Applications of Intelligent Systems (PAIS) (2014)Google Scholar
  11. 11.
    Jameson, A., Willemsen, M.C., Felfernig, A., Gemmis, M., Lops, P., Semeraro, G., Chen, L.: Human decision making and recommender systems. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook. LNCS (LNAI), pp. 611–648. Springer, Boston, MA (2015). doi: 10.1007/978-1-4899-7637-6_18 CrossRefGoogle Scholar
  12. 12.
    Jameson, A., Smyth, B.: Recommendation to groups. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol. 4321, pp. 596–627. Springer, Heidelberg (2007). doi: 10.1007/978-3-540-72079-9_20 CrossRefGoogle Scholar
  13. 13.
    Jameson, A.: More than the sum of its members: challenges for group recommender systems. In: International Working Conference on Advanced Visual Interfaces, AVI 2004, Gallipoli (Lecce), Italy, pp. 48–54. ACM (2004)Google Scholar
  14. 14.
    Jannach, D., Zanker, M., Felfernig, A., Friedrich, G.: Recommender Systems: An Introduction. Cambridge University Press, New York (2010)CrossRefGoogle Scholar
  15. 15.
    Kudenko, D., Bauer, M., Dengler, D.: Group decision making through mediated discussions. In: Brusilovsky, P., Corbett, A., Rosis, F. (eds.) UM 2003. LNCS (LNAI), vol. 2702, pp. 238–247. Springer, Heidelberg (2003). doi: 10.1007/3-540-44963-9_32 CrossRefGoogle Scholar
  16. 16.
    Masthoff, J.: Group modeling: selecting a sequence of television items to suit a group of viewers. UMUAI 14(1), 37–85 (2004)Google Scholar
  17. 17.
    Masthoff, J., Gatt, A.: In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems. User Model. User-Adapted Interact. 16(3–4), 281–319 (2006). SpringerCrossRefGoogle Scholar
  18. 18.
    Masthoff, J.: Group Recommender Systems: Combining Individual Models. Recommender Systems Handbook, pp. 677–702 (2011)Google Scholar
  19. 19.
    McCarthy, K., Salamo, M., Coyle, L., McGinty, L., Smyth, B., Nixon, P.: Group Recommender Systems: A Critiquing based Approach. In: IUI 2006, pp. 267–269. ACM (2006)Google Scholar
  20. 20.
    McGinty, L., Smyth, B.: On the role of diversity in conversational recommender systems. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS (LNAI), vol. 2689, pp. 276–290. Springer, Heidelberg (2003). doi: 10.1007/3-540-45006-8_23 CrossRefGoogle Scholar
  21. 21.
    Mojzisch, A., Schulz-Hardt, S.: Knowing other’s preferences degrades the quality of group decisions. J. Personal. Soc. Psychol. 98, 794–808 (2010)CrossRefGoogle Scholar
  22. 22.
    Ricci, F., Rokach, L., Shapira, B., Kantor, P.: Recommender Systems Handbook. Springer, New York (2011)CrossRefzbMATHGoogle Scholar
  23. 23.
    Schulz-Hardt, S., Brodbeck, F., Mojzisch, A., Kerschreiter, R., Frey, D.: Group decision making in hidden profile situations: dissent as a facilitator of decision quality. J. Personal. Soc. Psychol. 91, 1080–1093 (2006)CrossRefGoogle Scholar
  24. 24.
    Stasser, G., Titus, W.: Pooling of unshared information in group decision making: biased information sharing during discussion. J. Personal. Soc. Psychol. 48, 1467–1478 (1985)CrossRefGoogle Scholar
  25. 25.
    Stettinger, M., Felfernig, A., Leitner, G., Reiterer, S., Jeran, M.: Counteracting serial position effects in the CHOICLA group decision support environment. In: 20th ACM Conference on Intelligent User Interfaces (IUI 2015), pp. 148–157 (2015)Google Scholar
  26. 26.
    Stettinger, M., Felfernig, A., Leitner, G., Reiterer, S.: Counteracting anchoring effects in group decision making. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds.) UMAP 2015. LNCS, vol. 9146, pp. 118–130. Springer, Cham (2015). doi: 10.1007/978-3-319-20267-9_10 CrossRefGoogle Scholar
  27. 27.
    Wittenbaum, G., Hollingshead, A., Botero, I.: From cooperative to motivated information sharing in groups: moving beyond the hidden profile paradigm. In: Communication Monographs, pp. 286–310 (2004)Google Scholar
  28. 28.
    Yaniv, I.: Group diversity and decision quality: amplification and attenuation of the framing effect. Int. J. Forecast. 27, 41–49 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Müslüm Atas
    • 1
    Email author
  • Alexander Felfernig
    • 1
  • Martin Stettinger
    • 1
  • Thi Ngoc Trang Tran
    • 1
  1. 1.Institute of Software TechnologyGraz University of TechnologyGrazAustria

Personalised recommendations