| 摘要 |
A system and method is disclosed for profiling subjects and objects based on subjects' responses to various objects for purposes of determining and presenting the objects most likely to generate the most likely response from each visitor. Object ratings, such as aesthetic response, preference, interest, or relevancy, are explicitly submitted by subjects or derived implicitly from visitor interactions with the objects. Objects include movies, books, songs, commercial products, news articles, advertisements or any other type of content or physical item. A profiling engine processes the ratings information and generates compact profiles of each subject and object based on the similarities and differences in affinities between the group of subjects and the group of objects. The object profiles can be clustered to create behavioral object categories. Additionally, a modeling module inverts the abstract subject and object profiles into physical attributes, such as predicting demographic or personality traits or subjective or other descriptive attributes of objects, such as size, shape, color, hipness, or trendiness. The system has application in market analysis and segmentation, behavioral targeting, product placement, and online advertising, to name but a few applications.
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