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A Collaborative Recommender System Based on Space-Time Similarities
July-September 2010 (vol. 9 no. 3)
pp. 81-87
Mario Muñoz-Organero, Carlos III University of Madrid
Gustavo A. Ramíez-González, Carlos III University of Madrid
Pedro J. Muñoz-Merino, Carlos III University of Madrid
Carlos Delgado Kloos, Carlos III University of Madrid
The Internet of Things (IoT) concept promises a world of networked and interconnected devices that provides relevant content to users. Recommender systems can find relevant content for users in IoT environments, offering a user-adapted personalized experience. Collaboration-based recommenders in IoT environments rely on user-to-object, space-time interaction patterns. This extension of that idea takes into account user location and interaction time to recommend scattered, pervasive context-embedded networked objects. The authors compare their proposed system to memory-based collaborative methods in which user similarity is based on the ratings of previously rated items. Their proof-of-concept implementation was used in a real-world scenario involving 15 students interacting with 75 objects at Carlos III University of Madrid.

1. S. Ortiz, Jr., "Is Near-Field Communication Close to Success?" Computer, vol. 39, no. 3, 2006, pp. 18–20.
2. Int'l Telecomm. Union, "ITU Internet Reports 2005: The Internet of Things," Strategy and Policy Unit, ITU, 2008; www.itu.int/osg/spu/publicationsinternetofthings .
3. L. Yan et al., The Internet of Things from RFID to the Next-Generation Pervasive Networked Systems, Auerbach Publications, 2008.
4. G. Adomavicius and A. Tuzhilin, "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions," IEEE Trans. Knowledge and Data Eng., vol. 17, no. 6, 2005, pp. 734–749.
5. G. Adomavicius and A. Tuzhilin, "Context-Aware Recommender Systems," Proc. 2nd ACM Int'l Conf. Recommender Systems (RecSys 2008), ACM Press, 2008, pp. 335–336.
6. B. Schilit, N. Adams, and R. Want, "Context-Aware Computing Applications," Proc. Workshop Mobile Computing Systems and Applications, IEEE CS Press, 1994, pp. 85–90.
7. P.J. Brown, J.D. Bovey, and X. Chen, "Context-Aware Applications: From the Laboratory to the Marketplace," IEEE Personal Comm., vol. 4, no. 5, 1997, pp. 58–64.
8. N.S. Ryan, J. Pascoe, and D.R. Morse, "Enhanced Reality Fieldwork: The Context-Aware Archaeological Assistant," V. Gaffney, M. van Leusen, and S. Exxon eds., Computer Applications in Archaeology, Archaeopress, 1998, pp. 269–274.
9. K. Dey, D. Abowd, and D. Salber, "A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications," Human-Computer Interaction, vol. 16, no. 2, 2001, pp. 97–166.
10. W. Woerndl, C. Schueller, and R. Wojtech, "A Hybrid Recommender System for Context-Aware Recommendations of Mobile Applications," Proc. IEEE 23rd Int'l Conf. on Data Engineering Workshop, IEEE CS Press, 2007, pp. 871–878.
11. A. Chen, "Context-Aware Collaborative Filtering System," Proc. Int'l Workshop Location and Context-Awareness, LNCS 3479, Springer, 2005, pp. 244–253.
12. G. Yap, A. Tan, and H. Pang, "Discovering Causal Dependencies in Mobile Context-Aware Recommenders," Proc. 7th Int'l Conf. Mobile Data Management, IEEE CS Press, 2006, p. 4; doi.ieeecomputersociety.org/10.1109/MDM.2006.72.
13. T. Kindberg et al., "People, Places, Things: Web Presence for the Real World," Mobile Networks & Applications J., vol. 7, no. 5, 2002, pp. 365–376.
14. J. Barton, T. Kindberg, and S. Sadalgi, "Physical Registration: Configuring Electronic Directories Using Handheld Devices," IEEE Wireless Comm., vol. 9, no. 1, 2002, pp. 30–38.
15. T. Kindberg, "Implementing Physical Hyperlinks Using Ubiquitous Identifier Resolution," Proc. 11th Int'l Conf. World Wide Web, ACM Press, 2008, pp. 191–199.
1. E. Miluzzo et al., "Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application," Proc. 6th ACM Conf. Embedded Network Sensor Systems (SenSys 08), ACM Press, 2008, pp. 337–350.
2. G. Shravan et al., "Micro-Blog: Sharing and Querying Content through Mobile Phones and Social Participation," Proc. 6th Int'l Conf. on Mobile Systems, Applications, and Services (ACM MobiSys), ACM Press, 2008, pp. 174–186.
3. H. Holone, G. Misund, and H. Holmstedt, "Users Are Doing It for Themselves: Pedestrian Navigation with User Generated Content," Int'l Conf. Next Generation Mobile Applications, Services, and Technologies, IEEE CS Press, 2007, pp. 91–99.
4. E. Rich, "User Modeling via Stereotypes," Cognitive Science, vol. 3, no. 4, 1979, pp. 329–354.
5. D. Golberg et al., "Using Collaborative Filtering to Weave an Information Tapestry," Comm. ACM, vol. 35, no. 12, 1992, pp. 61–70.
6. G. Adomavicius and A. Tuzhilin, "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions," IEEE Trans. Knowledge and Data Eng., vol. 17, no. 6, 2005, pp. 734–749.
7. U. Shardanand and P. Maes, "Social Information Filtering: Algorithms for Automating 'Word of Mouth,'" Proc. Conf. Human Factors in Computing Systems, ACM Press, 1995, pp. 210–217.
8. R. Beale, "Supporting Social Interaction with Smart Phones," IEEE Pervasive Computing, vol. 4, no. 2, 2005, pp. 35–41.
9. N. Eagle and A. Pentland, "Reality Mining: Sensing Complex Social Systems," J. Personal and Ubiquitous Computing, vol. 10, no. 4, 2005, pp. 1–14.
10. V. Kostakos, E. O'Neil, and A. Shahi, "Building Common Ground for Face to Face Interactions by Sharing Mobile Device Context," LNCS 3987, Springer, 2006, pp. 222–238.
11. L. Yan et al., The Internet of Things from RFID to the Next-Generation Pervasive Networked Systems, Auerbach Publications, 2008.
12. S. Ortiz, Jr., "Is Near-Field Communication Close to Success?" Computer, vol. 39, no. 3, 2006, pp. 18–20.
13. M. Laukkanen, "Towards Operating Identity-Based NFC Services," IEEE Int'l Conf. Pervasive Services, IEEE Press, 2007, pp. 92–95.
14. B. Benyo et al., "The Design of NFC-Based Applications," Proc. 11th Int'l Conf. Intelligent Eng. Systems, IEEE Press, 2007, pp. 277–280.
15. E. Siira and J. Haikio, "Experiences from Near-Field Communication (NFC) in a Meal Service System," Proc. 1st RFID Eurasia, IEEE Press, 2007, pp. 1–6; doi.10.1109/RFIDEURASIA.2007.4368137.
16. M. Aigner, S. Dominikus, and M. Feldhofer, "A System of Secure Virtual Coupons Using NFC Technology," Proc. IEEE Int'l Conf. Pervasive Computing and Comm. Workshops, IEEE CS Press, 2007; doi.ieeecomputersociety.org/10.1109/PERCOMW.2007.15.

Index Terms:
Recommender systems, Internet of Things, NFC tagged environments, pervasive content, collaborative recommender systems, networking and communications
Citation:
Mario Muñoz-Organero, Gustavo A. Ramíez-González, Pedro J. Muñoz-Merino, Carlos Delgado Kloos, "A Collaborative Recommender System Based on Space-Time Similarities," IEEE Pervasive Computing, vol. 9, no. 3, pp. 81-87, July-Sept. 2010, doi:10.1109/MPRV.2010.56
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