Abstract
The paper presents a framework for the selection and ranking of activities proposed to users in a social networking service, as for example Facebook’s “social events”. Our proposal takes into account the peculiarities of this application area, considering a variety of factors including the spatiotemporal relations between activities and between activities and users, and the social opinions weighted by the user’s interest in the specific themes and type of an activity.
To this aim, we describe a semantic model for the involved entities, and especially for the available activities. We describe a process that can be easily configured according to user preferences, extended to take into account additional ranking factors, and adapted to include existing recommendation/ranking strategies. Finally, we specifically introduce ranking factors that can be used within the specific model and process we describe. The results of a preliminary evaluation show the effectiveness of our approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 217–253. Springer US (2011)
Carmagnola, F., Cena, F., Console, L., Cortassa, O., Gena, C., Goy, A., Torre, I., Toso, A., Vernero, F.: Tag-based user modeling for social multi-device adaptive guides. User Modeling and User-Adapted Interaction 18, 497–538 (2008)
Cornelis, C., Guo, X., Lu, J., Zhang, G.: A Fuzzy Relational Approach to Event Recommendation. Artificial Intelligence, 2231–2242 (2007)
Cornelis, C., Lu, J., Guo, X., Zhang, G.: One-and-only item recommendation with fuzzy logic techniques. Information Sciences 177(22), 4906–4921 (2007)
Grenon, P., Smith, B.: SNAP and SPAN: Towards Dynamic Spatial Ontology. Spatial Cognition & Computation 4(1), 69–104 (2004)
Hazarika, S., Cohn, A.: Abducing Qualitative Spatio-Temporal Histories from Partial Observations. In: Fensel, D., Giunchiglia, F., McGuinness, D.L., Williams, M.-A. (eds.) Proc. of the 8th International Conference on Principles and Knowledge Representation and Reasoning, KR 2002, pp. 14–25. Morgan Kaufmann (2002)
Kayaalp, M., Özyer, T., Özyer, S.T.: A mash-up application utilizing hybridized filtering techniques for recommending events at a social networking site. Social Network Analysis and Mining 1(3), 231–239 (2010)
Lee, D.H.: PITTCULT: trust-based cultural event recommender. In: Proc. of the 2008 ACM Conference on Recommender Systems, RecSys 2008, pp. 311–314. ACM (2008)
Likavec, S., Lombardi, I., Nantiat, A., Picardi, C., Theseider Dupré, D.: Threading Facts into a Collective Narrative World. In: Aylett, R., Lim, M.Y., Louchart, S., Petta, P., Riedl, M. (eds.) ICIDS 2010. LNCS, vol. 6432, pp. 86–97. Springer, Heidelberg (2010)
Lops, P., De Gemmis, M., Semeraro, G.: Content-based Recommender Systems: State of the Art and Trends. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, ch. 3, pp. 73–105. Springer US (2011)
Minkov, E., Charrow, B., Ledlie, J., Teller, S., Jaakkola, T.: Collaborative future event recommendation. In: Proc. of the 19th ACM International Conference on Information and Knowledge Management, CIKM 2010, pp. 819–828. ACM (2010)
Muller, P.: Topological Spatio-Temporal Reasoning and Representation. Computational Intelligence 18(3), 420–450 (2002)
Pessemier, T.D., Coppens, S., Geebelen, K., Vleugels, C., Bannier, S., Mannens, E., Vanhecke, K., Martens, L.: Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform. Multimedia Tools and Applications 58(1), 167–213 (2012)
Raimond, Y., Abdallah, S.A., Sandler, M.B., Giasson, F.: The music ontology. In: Dixon, S., Bainbridge, D., Typke, R. (eds.) Proc. of the 8th International Conference on Music Information Retrieval, ISMIR 2007, pp. 417–422. Austrian Computer Society (2007)
Rayfield, J., Wilton, P., Oliver, S.: Sport Ontology (February 2011), http://www.bbc.co.uk/ontologies/sport/
Shaw, R., Troncy, R., Hardman, L.: LODE: Linking open descriptions of events. In: Gómez-Pérez, A., Yu, Y., Ding, Y. (eds.) ASWC 2009. LNCS, vol. 5926, pp. 153–167. Springer, Heidelberg (2009)
Sosnovsky, S., Dicheva, D.: Ontological technologies for user modelling. International Journal of Metadata Semantic Ontologies 5(1), 32–71 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Lombardi, I., Likavec, S., Picardi, C., Chiabrando, E. (2013). Selection and Ranking of Activities in the Social Web. In: Baldoni, M., Baroglio, C., Boella, G., Micalizio, R. (eds) AI*IA 2013: Advances in Artificial Intelligence. AI*IA 2013. Lecture Notes in Computer Science(), vol 8249. Springer, Cham. https://doi.org/10.1007/978-3-319-03524-6_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-03524-6_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03523-9
Online ISBN: 978-3-319-03524-6
eBook Packages: Computer ScienceComputer Science (R0)