| 摘要 |
In order to recommend items of interest to a user, such as television program recommendations, before a viewing or purchase history of the user is sufficiently developed to generate accurate recommendations, third party viewing or purchase histories are processed to generate stereotype profiles that reflect the typical patterns of items selected by representative viewers. To avoid being limited by the vocabulary of descriptive information associated with viewed programs, image content and/or image content features (mean, standard deviation, entropy) are employed as a basis for evaluating the viewing histories, alone or in combination with the descriptive information. A user can select the most relevant stereotype(s) from the generated stereotype profiles and thereby initialize his or her profile with the items that are closest to his or her own interests, with greater accuracy since the program content is employed directly in generating the stereotype profiles.
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