Merging Consumption Data From Multiple Sources To Quantify (2016)

By Sashikumar Venkataraman and Craig Carmichael, Rovi Corporation

We describe an integrated platform that aggregates consumption data from multiple sources towards building a unified model for collaborative filtering for more accurate user and content representations. The goal is to provide a framework that combines various signals spanning explicit ratings, implicit information of watching behaviors and metacontent information in a single model that potentially goes beyond the usual goal of maximizing consumption and incorporates metrics that capture “likeness” and “discovery”. We also feed the usage data back into meta-content to determine more accurate content representations that aid in targeting content-based recommendations more effectively.

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