Classification of digital content by using aggregate scoring

Details Classification of digital content by using aggregate scoring Classification of digital content by using aggregate scoring

2011-07-12

2011-07-12

Gaffin, Jeffrey A (Department: 2129)

Data processing: artificial intelligence

Neural network

Learning task

C382S224000

Reexamination Certificate

active

07979369

ABSTRACT:
Aggregate scoring is used to help classify digital content such as content uploaded to multi-user websites (e.g., social networking websites). In one embodiment, specific categories are used that relate to a social implication of content. For example, text, images, audio or other data formats can provide communication perceived to fall into categories such as violent, abusive, rights management, pornographic or other types of communication. The categories are used to provide a raw score to items in various groupings of a site's content. Where items are related to other items such as by organizational, social, legal, data-driven, design methods, or by other principles or definitions, the related items' raw scores are aggregated to achieve a score for a particular grouping of items that reflects, at least in part, scores from two or more of the related items.

REFERENCES:
Arentz et al., Classifying offensive sites based on image content [online], Computer Vision and Image Understanding 94, 295-310, 2004 [retrieved Nov. 17, 2010]. Retrieved from the Internet:<URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.101.1532&rep=rep1&type=pdf>.

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