Abstract:
A computer-implemented method includes receiving a first visual media article from an entity that provides content sources, identifying a first content item of the first visual media article, and identifying in a database a second visual media article that includes a second content item, wherein the second content item is substantially similar to the first content item. The method further includes extracting from logging data one or more keywords that yield a listing of a content source that includes the second visual media article, and suggesting the extracted one or more keywords to the entity.
Abstract:
A system for creating audiences for a shared content publisher, includes a data store comprising a computer readable medium storing a program of instructions for audiences for a shared content publisher; a processor that executes the program of instructions; a data processor to monitor access to an Internet web site by a first set of users for a reference time period; a window extraction module, based on a reference split period, to divide the monitored access into a vector X and a vector Y, wherein vector X is defined by accesses by the first set of users before the reference split period, and vector Y is defined by accesses by the first user after the reference split period; and a data analysis module to create a model based on the vector X and the vector Y, to evaluate the model based on a second set of users accessing content similar to vector X, to create a final model based on the evaluation, and to score a group of users associated with the shared content publisher based on the final model, the data processor monitors accesses by the first user by recording content or shared content identification and additional information items.