Abstract
The motivation behind many Information Retrieval systems is to identify and present relevant information to people given their current goals and needs. Learning about user preferences and access patterns recent technologies make it possible to model user information needs and adapt services to meet these needs. In previous work we have presented ASSIST, a general-purpose platform which incorporates various types of social support into existing information access systems and reported on our deployment experience in a highly goal driven environment (ACM Digital Library). In this work we present our experiences in applying ASSIST to a domain where goals are less focused and where casual exploration is more dominant; YouTube. We present a general study of YouTube access patterns and detail how the ASSIST architecture affected the access patterns of users in this domain.
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References
61 Billion Searches Conducted Worldwide in August (2008), http://www.comscore.com/press/release.asp?press=1802
Brusilovsky, P., Chavan, G., Farzan, R.: Social Adaptive Navigation Support for Open Corpus Electronic Textbooks. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137. Springer, Heidelberg (2004)
Coyle, M., Freyne, J., Farzan, R., Smyth, B., Brusilovsky, P.: Reducing Click Distance through Social Adaptive Interfacing. In: Proceedings ReColl 2008 - International Workshop on Recommendation and Collaboration. In conjunction with International Conference on Intelligent User Interfaces (2008)
Dieberger, A., Guzdial, M.: CoWeb–Experiences with Collaborative Web Spaces. Computer Supported Cooperative Work. In: From Usenet to CoWebs: Interacting with Social Information Spaces, pp. 155–166. Springer, Heidelberg (2003)
Farzan, R., Coyle, M., Freyne, J., Brusilovsky, P., Smyth, B.: Adaptive Social Support for Information Space Traversal. In: Proceedings of the 18th ACM Conference on Hypertext and Hypermedia, Manchester, UK, pp. 199–208 (2007)
Jung, S., Harris, K., Webster, J., Herlocker, J.L.: SERF: integrating human recommendations with search. In: Proceedings of the Thirteenth ACM conference on Information and knowledge management, pp. 571–580 (2004)
Kantor, P.B., Boros, E., Melamed, B., Meñkov, V., Shapira, B., Neu, D.J.: Capturing human intelligence in the net. Communications of the ACM 43(8), 112–115 (2000)
Maltz, D., Ehrlich, K.: Pointing the Way: Active Collaborative Filtering. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 202–209 (1995)
Olston, C., Chi, E.D.H.: ScentTrails: Integrating Browsing and Searching on the Web. ACM Transactions on Computer-Human Interaction 10(3), 177–197 (2003)
Smyth, B., Balfe, E., Boydell, O., Bradley, K., Briggs, P., Coyle, M., Freyne, J.: A Live-User Evaluation of Collaborative Web Search. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI 2005), Edinburgh, Scotland, pp. 1419–1424 (2005)
Smyth, B., Balfe, E., Freyne, J., Briggs, P., Coyle, M., Boydell, O.: Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine. User Modeling and User-Adapted Interaction: The Journal of Personalization Research 14(5), 383–423 (2004)
Wexelblat, A., Maes, P.: Footprints: history-rich tools for information foraging. In: Proceedings of the SIGCHI conference on Human factors in computing systems: The CHI is the limit, pp. 270–277 (1999)
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Coyle, M., Freyne, J., Brusilovsky, P., Smyth, B. (2008). Social Information Access for the Rest of Us: An Exploration of Social YouTube. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2008. Lecture Notes in Computer Science, vol 5149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70987-9_12
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DOI: https://doi.org/10.1007/978-3-540-70987-9_12
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