DEMOGRAPHIC AND MEDIA PREFERENCE PREDICTION USING MEDIA CONTENT DATA ANALYSIS

摘要

Methods, systems and computer program products are provided for predicting data. A name or title is obtained from a taste profile. There is an index into a data set based on the name or title, and a set of terms and corresponding term weights associated with the name or title are retrieved. A sparse vector is constructed based on the set of terms and term weights. The sparse vector is input to a training model including target data. The target data includes a subset of test data which has a correspondence to a predetermined target metric of data. A respective binary value and confidence level is output for each term, corresponding to an association between the term and the target metric.

主权项

1. A system for predicting data, comprising:
a processor configured to: obtain a name or title from a taste profile; index into a data set based on the name or the title, and retrieve a set of terms and corresponding term weights associated with the name or the title; construct a sparse vector based on the set of terms and term weights; identify a target brand or segment of interest; generate a first list of accounts who follow the brand or segment of interest by examining social media data, and a second list of additional entities followed by accounts in the first list; filter the second list through a space mapping that maps entities to names or titles from taste profiles, to generate a subset of test data having a correspondence to the target brand or segment of interest; input the sparse vector to a training model including target data, wherein the target data includes the subset of test data having a correspondence to the target brand or segment of interest, and output a respective binary value and confidence level for each term, corresponding to an association between the term and the target brand or segment of interest.