Time-Shifted Ad Targeting via Private Viewer Profiles
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Solution Overview
Problem
Current advertising systems face inefficiencies in targeting receptive consumers without invading viewer privacy, inaccurately estimating viewer numbers, and being tied to specific program schedules, especially with the rise of time-shifted media consumption.
Innovation Solution
A system that generates private and shared viewer profiles based on play history to select and deliver targeted advertisements with meta data, allowing for real-time or recorded playback, and pricing based on actual viewer interactions, while maintaining viewer privacy and accommodating time-shifted viewing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional broadcast advertising is used, then advertising revenue can be generated, but advertising efficiency is reduced due to inability to accurately target receptive consumers
Solution Approach 1:
The patent introduces an intermediary system consisting of a viewer profile database and advertisement selection algorithm that mediates between advertisers and viewers. This intermediary processes viewing data and matches advertisements to appropriate viewer profiles based on demographic information and viewing habits, thereby improving advertising efficiency without requiring direct access to sensitive personal information.
Solution Approach 2:
The system implements feedback mechanisms by tracking viewer responses to advertisements and using this information to refine viewer profiles and improve future advertisement targeting. The system collects data on which viewers watch which programs and uses this feedback to enhance the matching between advertisements and receptive consumer groups.
2Productivity
If viewer data is collected to improve targeting, then advertising efficiency improves, but viewer privacy is compromised
Solution Approach 1:
The patent extracts only the necessary demographic and viewing habit information from viewer data while leaving sensitive personal information behind. The system creates aggregated viewer profiles based on program viewing patterns and demographic categories without collecting or storing individual viewer identities or sensitive personal details, thus improving targeting while preserving privacy.
Solution Approach 2:
The system applies different levels of data collection and processing to different aspects of viewer information. Sensitive personal information is excluded entirely, while anonymous demographic and viewing pattern data are collected and processed locally at the receiver to create targeted advertisements without centralized storage of personal data.
3Adaptability or versatility
If advertisements are tied to specific program schedules, then advertising delivery is simplified, but adaptability to time-shifted viewing is lost
Solution Approach 1:
The system performs preliminary actions by pre-processing advertisements and storing them in an advertisement database with associated metadata before they are needed. When a viewer watches a program, the system retrieves and displays the appropriate advertisement from the pre-processed database, enabling time-shifted viewing accommodation without requiring complex real-time processing during playback.
Solution Approach 2:
The patent uses copying by creating and storing multiple copies of advertisements in the receiver's memory or database, associated with different programs and time slots. This allows the same advertisement content to be delivered across multiple viewing sessions and time shifts without requiring complex real-time generation or transmission, simplifying the delivery system while maintaining adaptability.
Data Source
AI summary
Methods and systems for time shifting advertising to provide enhanced advertisement targeting are presented. An exemplary method of time shifting advertising of a video service comprises generating a private profile based upon a private play history of a receiver and receiving one or more predetermined advertisements, each of the one or more advertisements including meta data. The profile can be generated by a profiler within a receiver unit. The predetermined advertisements are selected and stored based upon the meta data and the private profile. A program is received and a targeted advertisement is selected from the subset of the predetermined advertisements based upon the meta data and the private profile and played with the program. Management of the advertisements (e.g. selecting and storing predetermined advertisements and selecting targeted advertisements) can be facilitated by an advertisement controller within the receiver.