Abstract
The system described in this paper (MORSE — movie recommendation system) makes personalised film recommendations based on what is known about users' film preferences. These are provided to the system by users rating the films they have seen on a numeric scale. MORSE is based on the principle of social filtering. The accuracy of its recommendations improves as more people use the system and as more films are rated by individual users. MORSE is currently running on BT Laboratories' World Wide Web (WWW) server. A full evaluation, described in this paper, was carried out after over 500 users had rated on average 70 films each. Also described are the motivation behind the development of MORSE, its algorithm, and how it compares and contrasts with related systems.
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© 1997 Springer-Verlag Berlin Heidelberg
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Fisk, D. (1997). An application of social filtering to movie recommendation. In: Nwana, H.S., Azarmi, N. (eds) Software Agents and Soft Computing Towards Enhancing Machine Intelligence. Lecture Notes in Computer Science, vol 1198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62560-7_41
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DOI: https://doi.org/10.1007/3-540-62560-7_41
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