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papers > kurapati02
Kaushal Kurapati and Srinivas Gutta (2002).
TV Personalization through Stereotypes.
Proceedings of the AHÂ’2002 Workshop on Personalization in Future TV pp..
http://www.di.unito.it/~liliana/TV02/completeProceedings.pdf
Abstract
Personal Television is here via the advent of a new class of devices called personal video recorders (PVRs). For a PVR to provide an enriched TV experience to the user, personalization is the key. One of the thorny problems facing a recommender system is that of cold-start: how does one capture the user preferences quickly and effectively and provide user-specific personalization "out-of-the-box"? To address the cold-start problem, we propose a stereotype-enabled personalization framework that evolves a user's TV profile from a stereotypical, initial profile, to a personalized, more relevant one. The stereotypes have been derived from a sample set of 7 users who have been contributing their TV viewing histories to us for periods ranging from 5 months to 2 years. We conducted 3 sets of experiments, each with a different set of stereotypes applied to all the users. The results show that the average lower and upper error bounds for the best case performance over all users and stereotypes used in the experiments are 26.7% and 37.6% respectively. The best case performance, in the case of 2 users, is in the range of 11% error. This performance compares favorably with the best we have got to date on recommenders trained on user-specific data. The best initial (cold-start) errors were around 30%: a good starting point for a personalization system.
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