Contextual Ad Insertion via User Intent Recognition
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Solution Overview
Problem
Existing online advertising methods, such as banner ads and pop-ups, are disruptive and contextually irrelevant, leading to low user tolerance and poor click-through rates on websites featuring user-generated content, as they fail to effectively recognize and respond to user intentions within online conversations.
Innovation Solution
Systems and methods that analyze user intentions from online conversations to deliver relevant content by determining intention types and topics, scoring potential actions, and presenting contextually relevant creatives or advertisements, integrating these signals with user profiles to enhance advertising relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional banner ads and pop-ups are used for online advertising, then advertising revenue can be generated, but user experience deteriorates and click-through rates remain low due to disruptive placement and contextual irrelevance
Solution Approach 1:
The patent applies local quality by placing advertisements specifically within online conversations at locations contextually relevant to the user's intent, rather than using uniform banner placements. The system analyzes conversation content to identify intent signals and inserts ads only where they naturally fit, making the advertising experience locally optimized for each user context.
Solution Approach 2:
The system changes the parameter of advertisement placement from fixed positional banners to dynamic content-based insertion points. By monitoring user intent signals in real-time and adjusting ad placement based on conversation context, the system transforms static advertising into a dynamic process that adapts to user needs, thereby improving both user tolerance and click-through rates.
2Loss of information
If advertisements are placed in prominent locations on web pages, then visibility increases, but user experience deteriorates due to interruption of content consumption
Solution Approach 1:
The patent uses the online conversation itself as an intermediary medium to deliver advertisements. Rather than placing ads as separate banners that interrupt content consumption, the system integrates ads within the conversational flow, using the conversation context as a bridge between the user and the advertising message. This mediator approach allows ads to be delivered without breaking the user's content interaction.
Solution Approach 2:
The system performs preliminary analysis of the conversation context and user intent before inserting advertisements. By pre-identifying relevant intent signals and determining optimal insertion points, the system prepares the advertising delivery in advance, ensuring that ads appear naturally within the conversation flow rather than interrupting it. This preliminary action enables seamless integration of ads without disrupting user experience.
3Ease of manufacture
If generic advertisements are displayed to all users, then advertising deployment is simple, but relevance to user needs decreases leading to low engagement
Solution Approach 1:
The patent transforms static generic advertisements into dynamic, context-aware ad selections. The system continuously monitors user intent signals in real-time and adjusts ad content based on the current conversation context and user needs. This dynamic approach allows the advertising system to adapt to each user's specific situation while maintaining automated deployment through intent signal analysis and matching algorithms.
Data Source
AI summary
Intentions of a user as expressed in an on-line conversation or other user generated content (UGC) are identified and subsequently acted upon, for example by bringing relevant or related content to the attention of the user and/or making others aware of the conversation. The intention signals derived from the UGC may be used to fashion or update a user profile or inform a broader view of the individual associated with the UGC.