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.

By clicking the "Download Paper" button, you are agreeing to our terms and conditions.

Similar Papers

Headend Management Of MPEG Transport Streams From Multiple Sources
By Caitlin Bestler, Manager Architecture & Advance Development, Zenith Electronics, Network Systems
1996
More Than Just The Metadata: How Consumption Data And User Patterns Hold The Key To Personalizing TV
By Peter Docherty, Peter Docherty, Founder and CTO, ThinkAnalytics
2013
A Method For Implementing Unique Identifiers In The Entertainment Supply Chain
By Michael Papish, Adam Powers, Rovi Corporation
2011
Create Data-Driven Solutions to Optimize IP Content Delivery and Identify Revenue Opportunities
By Brennen Lynch and Anukool Lakhina, Guavus, Inc.
2014
"SIMULSAT" * A Simultaneous Multiple Satellite Antenna TVRO
By Eugene P. Augustin, Antenna Technology Corporation
1982
A Time Compression Multiplex System For Multiple Video and Data Distribution Using Existing Satellite Channels
By Donald Kirk, Jr., Digital Communications, Inc.
1978
The Impact of Customer Care and Billing on Broadband Data Services
By Craig Hanson, Director, Advanced Technologies Ragan Wilkinson, Champion of Customer Care, Advanced Technologies, Lanse M. Leach, Ph.D., Senior Vice President, Chief Technology Officer, CableData, Inc.
1999
What's Hot: Linear Popularity Prediction From TV And Social Usage Data
By Jan Neumann, Xiaodong Yu, and Mohamad Ali Torkamani, Comcast Labs
2013
Push For More Money: Reassessing The Bandwidth Consumption Model For High Speed Data
By Walter Boyles, Wavexpress, Inc.
2002
Theory, Design And Application Of Multiple Feed Systems For Parabolic Reflector Antennas
By James B. Grabenstein, Microdyne Corporation
1983
More Results >>