Topic Model Based Media Program Genome Generation For A Video Delivery System

摘要

In one embodiment, the method incorporates a first set of words that belong to a topic in a set of topics that correspond to a set of genomes in a model, the words being incorporated in the model via a first item in the model. Then, the method incorporates a relationship between a second set of words that are associated with topics in the set of topics via a second item in the model. The model is trained with respect to the first item and the second item to determine a probability distribution of terms for the set of topics based on analyzing textual information for a plurality of media programs. The method further scores terms for each of the plurality of media programs based on the trained model to rank topics that correspond to genomes, the genomes describing characteristics for each media program.