GWAP as a tool to analyze, design, and test geo-social systems

Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools

Volumn , Issue , 2013, Pages 380-407

  Deplano, Martina ^a   Ruffo, Giancarlo ^a,b  

^a UNIVERSITY OF TURIN   (Italy)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN AND TESTS; DYNAMICAL PATTERN; GAME WITH A PURPOSE; REAL-TIME TRAFFIC INFORMATION; SOCIAL DYNAMICS; SPATIAL TEMPORALS; STATE OF THE ART; USER'S PREFERENCES;

REAL TIME SYSTEMS;

EID: 84900106103     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-4666-2833-5.ch016     Document Type: Chapter

References (63)

1. Aiello, L. M., Barrat, A., Cattuto, C., Ruffo, G., & Schifanella, R. (2010). Link creation and profile alignment in the aNobii social network. In Proceedings of the 2nd IEEE International Con-ference on Social Computing (SocialCom 2010), (pp. 249-256). Minneapolis, MN: IEEE Press.
2. Aiello, L. M., Barrat, A., Schifanella, R., Cattuto, C., Markines, B., & Menczer, F. (2012). Friend-ship prediction and homophily in social media. ACM Transactions on the Web, 6(2).
3. Billsus, D., & Pazzani, M. (1998). Learning collaborative information filters. In Proceedings of the 15th International Conference on Machine Learning (ICML 1998), (pp. 46-54). San Francisco, CA: Morgan Kaufmann Publishers Inc.
4. Braunhofer, M., Kaminskas, M., & Ricci, F. (2011). Recommending music for places of interest in a mobile travel guide. In Proceedings of the Fifth ACM Conference on Recommender Systems (RecSys 2011), (pp. 253-256). New York, NY: ACM Press.
5. Burke, R. (2002). Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12(4), 331-370. doi:10.1023/A:1021240730564
6. Calandrino, J. A., Kilzer, A., Narayanan, A., Felten, E. W., & Shmatikov, V. (2011). You might also like: Privacy risks of collaborative filtering. In Proceedings of the Security and Privacy (SP) IEEE Symposium, (pp. 231-246). IEEE Press.
7. Chang, J., & Sun, E. (2011). Location3: How users share and respond to location-based data on social networking sites. In Proceedings of the Fifth International Conference on Weblogs and Social Media, (pp. 74-80). IEEE.
8. Chee, S. H., Han, J., & Wang, K. (2001). RecTree: An efficient collaborative filtering method. In Proceedings of the 3rd International Conference on DataWarehousing and Knowledge Discovery, (pp. 141-151). IEEE.
9. Chen, L. J., Wang, B. C., & Chen, K. (2010). The design of puzzle selection strategies for GWAP systems. Journal of Concurrency and Computation: Practice & Experience, 22(7), 890-900.
10. Claypool, M., Gokhale, A., & Miranda, T. (1999). Combining content-based and collaborative filters in an online newspaper. In Proceedings of the SIGIR-99 Workshop on Recommender Systems: Algorithms and Evaluation. ACM Press.
11. Cooper, S., Khatib, F., Treuille, A., Barbero, J., Lee, J., & Beenen, M. (2010). Predicting protein structures with a multiplayer online game. Nature, 466, 756-760. doi:10.1038/nature09304
12. Cotter, P., & Smyth, B. (2000). PTV: Intelligent personalized TV guides. In Proceedings of the Twelfth Conference on Innovative Applications of Artificial Intelligence, (pp. 957-964). Austin, TX: IEEE.
13. Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science American Society for Information Science, 41(6), 391-407. doi:10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
14. Derryberry, A. (2012). Serious games: Online games for learning. Retrieved from http://www.adobe.com/resources/elearning/pdfs/serious_games_wp.pdf
15. Fielding, R. (2000). Architectural styles and the design of network-based software architectures. (PhD Thesis). University of California. Irvine, CA.
16. Goldberg, D., Nichols, D., Oki, B., & Terry, D. (1992). Using collaborative filtering to weave an information tapestry. Communications of the ACM, 35(12), 61-70. doi:10.1145/138859.138867
17. González, M. C., Hidalgo, C. A., & Barabási, A. L. (2008). Understanding individual human mobil-ity patterns. Nature, 453, 779-782. doi:10.1038/nature06958
18. Guy, I. (2011). Social recommender systems. Paper presented at WWW 2011. Hyderabad, India.
19. Hooper, C. J., & Rettberg, J. W. (2011). Experiences with geographical collaborative systems: Playfulness in geosocial networks and geocaching. In Proceedings of MobileHCI 2011. Stockholm, Sweden: MobileHCI.
20. Howe, J. (2006, June). The rise of crowdsourcing. Wired.
21. Howe, J. (2012). Crowdsourcing: A definition. Retrieved January 31, 2012 from http://crowdsourcing.typepad.com
22. Kim, B. M., & Li, Q. (2004). Probabilistic model estimation for collaborative filtering based on items attributes. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), (pp. 185-191). Beijing, China: IEEE/ACM Press.
23. Kincaid, J. (2008). A peek at brightkite for the iPhone. Retrieved January 15, 2012 from http://techcrunch.com/2008/10/16/a-peek-at-brightkite-for-the-iphone/
24. Law, E., Ahn, L. V., Dannenberg, R., & Crawford, M. (2007). Tagatune: A game for music and sound annotation. In Proceedings of the 8th International Conference on Music Information Retrieval ISMIR 2007, (pp. 361-364). Vienna, Austria: ISMIR.
25. Linden, G., Smith, B., & York, J. (2003). Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, 7(1), 76-80. doi:10.1109/MIC.2003.1167344
26. Melville, P., Mooney, R. J., & Nagarajan, R. (2002). Content-boosted collaborative filtering for improved recommendations. In Proceedings of the Eighteenth National Conference on Arti-ficial Intelligence (AAAI 2002), (pp. 187-192). Edmonton, Alberta: AAAI.
27. Melville, P., & Sindhwani, V. (2010). Recommender systems. In Sammut, C., & Webb, G. (Eds.), Encyclopedia of Machine Learning. Berlin, Germany: Springer.
28. Murphy, S. (2011). The culture of recommendation: Has it gone too far?. Retrieved Jan 31, 2012 from http://www.suzemuse.com/2011/02/the-culture-of-recommendation-has-it-gone-too-far/
29. NDH. (2012, January 8). Netflix's blog. Retrieved Jan 15, 2012 from http://blog.netflix.com/
30. O'Connor, M., & Herlocker, J. (1999). Clustering items for collaborative filtering. In Proceedings of the ACM SIGIR Workshop on Recommender Systems (SIGIR 1999). ACM Press.
31. Panisson, A., Barrat, A., Cattuto, C., Ruffo, G., Schifanella, R., & Van den Broeck, W. (2011). On the dynamics of human proximity for data diffusion in ad-hoc networks. Ad Hoc Networks, 10(8), 1532-1543. doi:10.1016/j.adhoc.2011.06.003
32. Papadimitriou, A., Symeonidis, P., & Manolopoulos, Y. (2011). Geo-social recommendations. In Proceedings of the RecSys Workshop Personalization on Mobile Applications (PeMA 2011). Chicago, IL: PeMA.
33. Pazzani, M., & Billsus, D. (1997). Learning and revising user profiles: The identification of interesting web sites. Machine Learning, 27(3), 313-331. doi:10.1023/A:1007369909943
34. Pazzani, M. J. (1999). A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review, 13(5-6), 393-408. doi:10.1023/A:1006544522159
35. Quercia, D., Lathia, N., Calabrese, F., Di Lorenzo, G., & Crowcroft, J. (2010). Recommending social events from mobile phone location data. In Proceedings of the 2010 IEEE International Conference on Data Mining (ICDM 2010), (pp. 971-976). Washington, DC: IEEE Press.
36. Quinn, A. J., & Bederson, B. (2011). Human computation: A survey and taxonomy of a growing field. In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems (CHI 2011). Vancouver, Canada: ACM Press.
37. Resnick, P., & Varian, H. (1997). Recommender systems. Communications of the ACM, 40(3), 56-58. doi:10.1145/245108.245121
38. Ricci, F. (2011). Mobile recommender systems. International Journal of Information Technology and Tourism, 12(3), 205-231. doi:10.3727/109830511X12978702284390
39. Sarwar, B. M., Karypis, G., Konstan, J. A., & Riedl, J. (2000). Analysis of recommendation algorithms for E-commerce. In Proceedings of the ACM E-Commerce, (pp. 158-167). Minneapolis, MN: ACM Press.
40. Sarwar, B. M., Karypis, G., Konstan, J. A., & Riedl, J. (2001). Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th International Conference on World Wide Web (WWW 2001), (pp. 285-295). ACM Press.
41. Sarwar, B. M., Karypis, G., Konstan, J. A., & Riedl, J. (2002). Recommender systems for large-scale e-commerce: Scalable neighborhood formation using clustering. In Proceedings of the 5th International Conference on Computer and Information Technology (ICCIT 2002). ICCIT.
42. Scellato, S. (2011, Autumn). Beyond the social web: The geo-social revolution. SIGWEB Newsletter.
43. Scellato, S., Mascolo, C., Musolesi, M., & Latora, V. (2010). Distance matters: Geo-social metrics for online social networks. In Proceedings of the 3rd Conference on Online Social Networks (WOSN 2010). Berkeley, CA: USENIX Association.
44. Schein, A. I., Popescul, A., Ungar, L. H., & Pennock, D. M. (2002). Methods and metrics for cold-start recommendations. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002). ACM Press.
45. Schifanella, R., Panisson, A., Gena, C., & Ruffo, G. (2008). Mobhinter: Epidemic collaborative filtering and self-organization in mobile ad-hoc networks. In Proceedings of the 2008 ACM Conference on Recommender Systems (RecSys 2008), (pp. 27-34). New York, NY: ACM Press.
46. Shiller, J. (2003). Mobile communications. Reading, MA: Addison-Wesley.
47. Su, X., & Khoshgoftaar, T. M. (2009). A survey of collaborative filtering techniques. Advances in Artificial Intelligence. Retrieved from http://www.hindawi.com/journals/aai/2009/421425/
48. Von Ahn, L. (2005). Human computation. (Doctoral Thesis). CMU.
49. Von Ahn, L. (2006, June). Games with a purpose. IEEE Computer Magazine, 96-98.
50. Von Ahn, L., & Dabbish, L. (2004). Labeling images with a computer game. ACM SIGCHI Conference on Human Factors in Computing Systems, (pp. 319-326). New York, NY: ACM Press.
51. Von Ahn, L., & Dabbish, L. (2008). Designing games with a purpose. Communications of the ACM, 51(8), 58-67. doi:10.1145/1378704.1378719
52. Von Ahn, L., Kedia, M., & Blum, M. (2006). Verbosity: A game for collecting common-sense facts. ACM SIGCHI Conference on Human Factors in Computing Systems, (pp. 75-78). New York, NY: ACM Press.
53. Weng, L., & Menczer, F. (2010). GiveALink tagging game: An incentive for social annotation. In Proceedings of the ACM SIGKDD Workshop on Human Computation (HCOMP 2010), (pp. 26-29). New York, NY: ACM Press.
54. Weng, L., Schifanella, R., & Menczer, F. (2011). Design of social games for collecting reliable semantic annotations. In Proceedings of the 16th International Conference on Computer Games (CGAMES), (pp. 185-192). Louisville, KY: CGAMES.
55. Weng, L., Schifanella, R., & Menczer, F. (2011). The chain model for social tagging game design. In Proceedings of the 6th International Conference on Foundations of Digital Games (FDG 2011), (pp. 295-297). New York, NY: ACM Press.
56. Xue, G., Lin, C., & Yang, Q. (2005). Scalable collaborative filtering using cluster-based smoothing. In Proceedings of the ACM SIGIR Conference, (pp. 114-121). Salvador, Brazil: ACM Press.
57. Yuen, M.-C., King, I., & Leung, K.-S. (2011). A survey of crowdsourcing systems. In Proceedings of Privacy, Security, Risk and Trust (PASSAT), 2011 IEEE Third International Conference on and 2011 IEEE Third International Confernece on Social Computing (SocialCom), (pp. 766-773). Boston, MA: IEEE Press.
58. Zyda, M. (2005). From visual simulation to virtual reality to games. Computer, 38(9), 25-32. doi:10.1109/MC.2005.297
59. Kapitsaki, G., Prezerakos, G., Tselikas, N., & Venieris, I. (2009). Context-aware service engineer-ing: A survey. Journal of Systems and Software, 82(8), 1285-1297. doi:10.1016/j.jss.2009.02.026
60. Rasch, K., Li, F., Sehic, S., Ayani, R., & Dustdar, S. (2011). Context-driven personalized service discovery in pervasive environments. World Wide Web (Bussum), 14(4), 295-319. doi:10.1007/s11280-011-0112-x
61. Sheng, Q. Z., Li, X., & Zeadally, S. (2008). Enabling next-generation RFID applications: Solutions and challenges. IEEE Computer, 41(9), 21-28. doi:10.1109/MC.2008.386
62. Sheng, Q. Z., Yu, J., & Dustdar, S. (Eds.). (2010). Enabling context-awareweb services: Methods, architectures, and technologies. Boca Raton, FL: CRC Press. doi:10.1201/EBK1439809853
63. Welbourne, E., Battle, L., Cole, G., Gould, K., Rector, K., & Raymer, S. (2009). Building the internet of things using RFID: The RFID ecosystem experience. IEEE Internet Computing, 13(3), 48-55. doi:10.1109/MIC.2009.52