Matching Media Contents with User Profiles by means of the Dempster-Shafer Theory

April 10, 2017 Β· Declared Dead Β· πŸ› IEEE International Conference on Fuzzy Systems

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Authors Luigi Troiano, Irene DΓ­az, Ciro Gaglione arXiv ID 1704.03048 Category cs.AI: Artificial Intelligence Citations 2 Venue IEEE International Conference on Fuzzy Systems Last Checked 4 months ago
Abstract
The media industry is increasingly personalizing the offering of contents in attempt to better target the audience. This requires to analyze the relationships that goes established between users and content they enjoy, looking at one side to the content characteristics and on the other to the user profile, in order to find the best match between the two. In this paper we suggest to build that relationship using the Dempster-Shafer's Theory of Evidence, proposing a reference model and illustrating its properties by means of a toy example. Finally we suggest possible applications of the model for tasks that are common in the modern media industry.
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