Live Event Content Targeting for Time-Relevant Distribution
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Solution Overview
Problem
Existing content distribution systems struggle to adapt to real-time and future events, making it difficult to deliver relevant content to users at the right time and location based on their interests.
Innovation Solution
A system that uses live event data to determine distribution criteria, including geographic location and user attributes, to deliver content during the event's interest period, automatically adjusting distribution parameters based on user interest and event progress.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content distribution is based on traditional distribution parameters, then content can be distributed to users, but the content cannot be delivered at the right time and location based on real-time events
Solution Approach 1:
The system receives event distribution data specifying content to be distributed during a live event that will occur in the future. The system identifies opportunities to provide content before the event occurs, determining interest periods based on search query volume changes. This preliminary action ensures content is ready and positioned before users need it, resolving the time relevance issue.
Solution Approach 2:
The system dynamically adjusts distribution parameters based on real-time event progress and user interest. It determines interest periods based on changing search query volumes during events, and automatically adjusts content distribution timing and targeting. This dynamic adaptation allows content to be delivered at the right moment based on actual event developments.
2Ease of operation
If content distribution requires manual selection of distribution parameters, then content can be targeted, but the selection process becomes complex and time-consuming
Solution Approach 1:
The system automatically determines distribution parameters based on event data and user behavior patterns. It identifies interest periods by analyzing search query volume changes, determines geographic regions based on event location, and selects target users based on their interests and behaviors. This self-service approach eliminates manual parameter selection while maintaining effective content targeting.
Solution Approach 2:
The system changes distribution parameters automatically based on event progression and user interest patterns. It determines optimal timing parameters from search query volume data, adjusts geographic targeting based on event location, and modifies user selection criteria based on real-time interest signals. This automated parameter adjustment simplifies the content sponsor's task while improving targeting accuracy.
3Productivity
If content is distributed without considering real-time event context, then distribution is simpler, but user engagement is reduced
Solution Approach 1:
The system continuously monitors user interactions and search query volumes during events, using this feedback to adjust content distribution in real-time. It identifies interest periods based on changing user behavior patterns and adjusts content delivery accordingly. This feedback mechanism ensures high user engagement while maintaining efficient distribution through automated real-time optimization.
Data Source
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AI summary
There is provided a method comprising providing, in a user interface presented to a content provider and by one or more data processing apparatus, a list of live events that specifies one or more live events that will occur in the future; receiving, from the content provider and by the one or more data processing apparatus, a selection of a specific live event from the list of live events; in response to receiving the selection of the specific live event from the content provider, assigning, to particular content provided by the content provider, a combination of distribution criteria that include user attributes that indicate user interest in the specific live event, wherein assignment of the combination of distribution criteria to the particular content conditions eligibility of the particular content for distribution to a particular user based on the combination of distribution criteria being matched by attributes of the particular user, and wherein the combination of distribution criteria differ from event data specifying the specific live event; identifying, by the one or more data processing apparatus and after receiving the selection of the specific live event, an opportunity to provide content to a user at a user device based on data available to the one or more data processing apparatus by the user device; determining, by the one or more data processing apparatus, that attributes of the user match the combination of distribution criteria that include user attributes that indicate user interest in the specific live event; and providing, by the one or more data processing apparatus and to the user device in response to determining that the attributes of the user match the combination of distribution criteria that include user attributes that indicate user interest in the specific live event, computer executable instructions that initiate presentation of the particular content on a display of the user device.