Abstract
Smart campus is generally defined as an academic institution that uses the Information and Communication Technologies (ICT) to enhance the quality of students’ life through buildings infrastructure, the way of learning and social activities planning. A large aspect of smart campus solution requires an intelligent information system which should be able to identify students’ requirements and make accordingly specific recommendations. This paper addresses the question of how smart campus can organize and plan events and activities for students by exploiting ICT. The proposed solution is based on a group recommender system of students’ social activities allowing them to express their preferences via complete orders. A new aggregation method (so-called Avg-Pos) is proposed to produce the global preference ordering relative to the whole group members. Experimental study carried out on a real-world data obtained from students of Lille1 University (France) points out the promising results on the effectiveness of the proposed recommender system.
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References
Ben Abdrabbah, S., Ayachi, R., Ben Amor, N.: A dynamic community-based personalization for e-Government services. In: Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance, pp. 258–265 (2016)
Baltrunas, L., Makcinskas, T., Ricci, F.: Group recommendations with rank aggregation and collaborative filtering. In: Proceedings of the Fourth ACM Conference on Recommender Systems (RecSys 2010), pp. 119–126 (2010)
De Pessemier, T., Dooms, S., Martens, L.: An improved data aggregation strategy for group recommendations. In: Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013), pp. 36–39 (2013)
Brun, A., Hamad, A., Buet, O., Boyer, A.: Towards preference relations in recommender systems. In: Proceedings of the ECML/PKDD Workshop on Preference Learning (2010)
Bydzovská, H.: Course enrollment recommender system. In: Proceedings of the 9th International Conference on Educational DatanMining, EDM 2016, pp. 312–317 (2016)
Ray, S., Sharma, A.: A collaborative filtering based approach for recommending elective courses. In: Information Intelligence, Systems, Technology and Management, vol. 141, no. 1, pp. 330–339. Springer, Heidelberg (2011)
Hlaing, H.H., Ko, K.T.: Location-based recommender system for mobile devices on University Campus. In: Proceedings of 2015 International Conference on Future Computational Technologies (ICFCT 2015), Singapore, 29–30 March, pp. 204–210 (2015)
Bouzeghoub, A., Do, N.K., Krug Wives, L.: Situation-aware adaptive recommendation to assist mobile users in a campus environment. In: AINA 2009: The IEEE 23rd International Conference on Advanced Information Networking and Applications, pp. 503–509 (2009)
Zhang, F.: A personalized time-sequence-based book recommendation algorithm for digital libraries. IEEE Access. 4, 2714–2720 (2016)
Cary, D.: Estimating the margin of victory for instant-runoff voting. In: Proceedings of the Conference on Electronic Voting Technology/Workshop on Trustworthy Elections (2011)
Saari, D.G.: The Borda dictionary. Soc. Choice Welfare 7, 279–319 (1990)
Davenport, A., Kalagnanam, J.: A computational study of the Kemeny rule for preference aggregation. In: Proceedings of the 19th National Conference on Artificial Intelligence, pp. 697–702 (2004)
Young, H.P., Levenglick, A.: A consistent extension of condorcet’s election principle. SIAM J. Appl. Math. 35(2), 285–300 (1978)
Dwork, C., Kumar, R., Naor, M., Sivakumar, D.: Rank aggregation methods for the web. In: Proceedings of the 10th International Conference on World Wide Web, New York, NY, USA, pp. 613–622 (2001)
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Ben Abdrabbah, S., Ayachi, R., Ben Amor, N. (2018). Social Activities Recommendation System for Students in Smart Campus. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_46
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DOI: https://doi.org/10.1007/978-3-319-59480-4_46
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