Dynamic Ad Weighting in Collaborative Environments
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Solution Overview
Problem
Existing email systems fail to effectively deliver relevant advertisements to users in collaborative environments by not considering real-time interactions and user profiles, leading to irrelevant ad placement.
Innovation Solution
A system that identifies user profiles based on real-time information from collaborative environments, such as instant messaging, web conferencing, and video conferencing, and adjusts advertisement weights based on user interactions and time, ensuring that advertisements are displayed proximate to relevant content and updated dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are selected based on e-mail content matching, then advertisement delivery is achieved, but advertisement relevance to user interests and context deteriorates
Solution Approach 1:
The patent changes the parameters used for ad selection from simple keyword matching to a multi-dimensional user profile system that includes user interests, interaction context, and temporal factors. This allows the system to select ads based on comprehensive user characteristics rather than superficial content matching.
Solution Approach 2:
The system incorporates real-time interaction feedback from collaborative environments (instant messaging, video conferencing, web conferencing) to continuously update user profiles and adjust ad selection. This feedback mechanism ensures ads remain relevant to current user context and interests.
2Reliability
If user profiles are updated in real-time based on collaborative interactions, then advertisement freshness is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal user profile system that serves multiple functions: tracking user interests, monitoring interaction context, and enabling real-time ad selection across different collaborative environments. This multi-functional approach consolidates complexity into a single reusable framework.
Solution Approach 2:
The user profile acts as an intermediary layer between collaborative interactions and ad selection. Instead of directly processing all interaction data for ad delivery, the system uses profiles as a mediator to summarize and structure information, reducing overall system complexity.
3Ease of operation
If advertisements are displayed proximate to collaborative content, then user engagement is improved, but ad placement precision requirements increase
Solution Approach 1:
The patent applies local quality by displaying different advertisements to different users based on their specific interaction context and profile characteristics. Instead of uniform ad placement, the system tailors ad content and positioning to each user's local context within the collaborative environment.
Data Source
AI summary
A user profile is identified, the user profile including portions of information related to a first user that is present in a collaborative environment. A weight is associated with a portion of information. An advertisement is identified based on the portions of information and associated weights, and the advertisement is shown to the first user.