Abstract
The arrival of PVRs (Personal Video Recorders)—tape less devices that allow for easy navigation and storage of TV content—and the availability of hundreds of TV channels in US homes have made the task of finding something good to watch increasingly difficult. In order to ease this content selection overload problem, we pursued three related research themes. First, we developed a recommender engine that tracks users’ TV-preferences and delivers accurate content recommendations. Second, we designed a user interface that allows easy navigation of selections and easily affords inputs required by the recommender engine. Third, we explored the importance of gaining users’ trust in the recommender by automatically generating explanations for content recommendations. In evaluation with users, our smart interface came out on top beating TiVo’s interface and TV Guide Magazine, in terms of usability, fun, and quick access to TV shows of interest. Further, our approach of combining multiple recommender ratings—resulting from various machine-learning methods—using neural networks has produced very accurate content recommendations.
IBM Corporation
Lockheed Martin Corporation
Philips Research
MIT
Work done while at Philips Research
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
Ardissono, L., Gena, C., Torasso, P., Bellifemine, F., Chiarotto, A., Difino, A. and Negro, B.: User Modeling and Recommendation Techniques for Personalized Electronic Program Guides. This Volume.
Smyth, B. and Cotter, P.: The Evolution of the Personalized Electronic Program Guide. This Volume.
Balabanovic, M. and Shoham, Y.: 1997, FAB: Content-Based Collaborative Recommender. Communications of the ACM 40(3), 66–72.
Barneveld, J. V. and Setten, M. V.: Designing Usable Interfaces for TV Recommender. This Volume.
Baudisch, P. and Bruekner, L.: 2001, TV Scout: Guiding Users from Printed TV Program Guides to Personalized TV Recommendation. Second International Conference on Adaptive Hypermedia and Adaptive Web Based Systems: Workshop on Personalization in Future TV, Malaga, Spain, pp. 151–160.
Bickmore, T. and Cassell, J.: 2001, Relational Agents: A Model and Implementation of Building User Trust. Conference on Human Factors in Computing, Seattle, WA, USA, pp. 80–87.
Billsus, D. and Pazzani, M. J.: 1998, Learning Collaborative Information Filters. Fifteenth International Conference on Machine Learning, Wisconsin, USA, pp. 46–54.
Cotter, P. and Smyth, B.: 2000, PTV: Intelligent Personalized TV Guides. Seventeenth National Conference on Artificial Intelligence, Austin, TX, USA, pp. 957–964.
Das, D. and ter Horst, H.: 1998, Recommender Systems for TV. Technical Report WS-98-08 Recommender System, Papers from the 1998 Workshop, Madison, WI. Menlo Park, CA: AAAI Press, pp. 35–36.
Duda, R. and Hart, P.: 1973, Pattern Recognition and Scene Analysis. John Wiley & Sons, New York.
Fogg, B. J. and Tseng, H.: 1999, The Elements of Computer Credibility. Conference on Human Factors in Computing Systems, Pittsburgh, PA, USA, pp. 80–86.
Gutta, S., Kurapati, K., Lee, K. P., Martino, J., Milanski, J., Schaffer, D. and Zimmerman, J.: 2000, TV Content Recommender System. Seventeenth National Conference on Artificial Intelligence, Austin, TX, USA, pp. 1121–1122.
Hammond, K. J., Burke, R. and Schmitt, K.: 1996, A Case-Based Approach to Knowledge Navigation. In D. Leake (ed.), Case-Based Reasoning Experiences, Lessons and Future Directions, Cambridge, MA: MIT Press, pp. 125–136.
Herlocker, J., Konstan, J. and Riedl, J.: 2000, Explaining Collaborative Filtering Recommendations. Conference on Computer Supported Cooperative Work, Philadelphia, PA, USA, pp. 241–250.
Kubey, R. and Csikszentmihalyi, M.: 1990, Television and the Quality of Life: How Viewing Shapes Everyday Experiences. Hillsdale, NJ: Lawrence Erlbaum Associates.
Kurapati, K., Gutta, S., Schaffer, D., Martino, J. and Zimmerman, J.: 2001, A Multi-Agent TV Recommender. Eighth International Conference on User Modeling: Workshop on Personalization in Future TV, Sonthofen, Germany, http://www.di.unito.it/~liliana/UM01/kurapati.pdf.
Lee, H., Nam, J., Bae, B., Kim, M., Kang, K. and Kim, J.: 2001, Personalized Contents Guide and Browsing based on User Preference. Second International Conference on Adaptive Hypermedia and Adaptive Web Based Systems: Workshop on Personalization in Future TV, Malaga, Spain, pp. 131–150.
Lerch, F. J. and Prietula, M. J.: 1989, How do we Trust Machine Advice? In: G. Salvendy and M. J. Smith (eds.), Designing and Using Human-Computer Interfaces and Knowledge Based Systems, Amsterdam, the Netherlands: Elsevier Science Publishers B. V., pp. 410–419.
Lull, J.: 1990, Inside Family Viewing: Ethnographic Research on Television’s Audiences. New York: Routledge.
Moody, J. and Darken, C. J.: 1989, Fast Learning in Networks of Locally Tuned Processing Units. Neural Computation 1(2), pp. 281–294.
Mueleman, P., Heister, A., Kohar, H. and Tedd, D.: 1998, Double Agents — Presentation and Filtering Agents for a Digital Television Recording System. Conference on Human Factors in Computing Systems, Los Angeles, CA, USA, pp. 3–4.
Pittarello, F.: Time-pillars World: A 3D Paradigm for the New Enlarged TV Information Domain. This Volume.
Predictive Media, Inc. — http://www.predictivemedia.com/
Quinlan, J. R.: 1983, Learning Efficient Classification Procedures and their Application to Chess End Games. In: R. S. Michalski, J. G. Carbonell and T. M. Mitchell (eds.), Machine Learning: An Artificial Approach, Vol. 1. Morgan Kaufmann Publishers Inc, Palo Alto, California.
Quinlan, J. R.: 1991, C4.5: Machine Learning Programs, Morgan Kaufmann Publishers, Palo Alto, California.
Smyth, B. and Cotter, P.: 1999, Surfing the Digital Wave: Generating Personalised TV Listings using Collaborative Case-Based Recommendations. International Conference on Case-Based Reasoning, Springer-Verlag, Germany, pp. 561–571.
Smyth, B. and Cotter, P.: The Evolution of the Personalized Electronic Program Guide. This Volume.
TiVo, Inc. — http://www.TiVo.com
Tribune Media Services — http://www.tms.tribune.com/
Wheeless, L. and Grotz, J.: 1977, The Measurement of Trust and Its Relationship to Selfdisclosure. Communication Research 3(3), pp. 250–257.
Zimmerman, J. and Kurapati, K.: 2002, Exposing Profiles to Build Trust in a Recommender. Conference on Human Factors in Computing Systems, Minneapolis, MN, pp. 608–609.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2004 Kluwer Academic Publishers
About this chapter
Cite this chapter
Zimmerman, J., Kauapati, K., Buczak, A.L., Schaffer, D., Gutta, S., Martino, J. (2004). TV Personalization System. In: Personalized Digital Television. Human-Computer Interaction Series, vol 6. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2164-X_2
Download citation
DOI: https://doi.org/10.1007/1-4020-2164-X_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-2163-3
Online ISBN: 978-1-4020-2164-0
eBook Packages: Springer Book Archive