Peer-to-Peer Text Augmentation for Transparent Ad Matching
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Solution Overview
Problem
Peer-to-peer messaging platforms lack transparency in data processing, leading to data opacity and misuse of conversation data for targeted advertising, compromising user privacy and security.
Innovation Solution
A text augmentation system that uses natural language processing to identify keywords in conversation data, queries an advertisement store for relevant ads, and augments the conversation with embedded hyperlinks or pop-ups to provide transparent and personalized advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If advertisers use opaque methods to push advertisements on other platforms relying on sensitive conversation data, then targeted advertising can be delivered, but data privacy and security are compromised and data opacity increases
Solution Approach 1:
The patent introduces an intermediary system that sits between the conversation data and the advertising delivery mechanism. This intermediary processes conversation data to extract topics and interests, then matches these with relevant advertisements without exposing the actual conversation content to advertisers. The intermediary acts as a trusted mediator that enables targeted advertising while preserving data privacy through selective information sharing.
Solution Approach 2:
The patent extracts only the necessary information (topics, interests, and contextual relevance) from conversation data while leaving the sensitive personal information behind. By taking out only the essential advertising-related attributes and discarding or protecting the rest of the conversation data, the system enables targeted advertising without compromising user privacy or security.
2Adaptability or versatility
If peer-to-peer messaging platforms process conversation data behind the scenes, then personalized contextual content can be delivered, but users remain unaware of data processing and data opacity increases
Solution Approach 1:
The patent implements feedback mechanisms that inform users about how their conversation data is being processed for advertising purposes. The system provides visibility into the topics extracted, the advertisements generated, and the matching process, allowing users to understand and control their data usage preferences while still receiving personalized content delivery.
3Productivity
If advertisements are integrated into conversations, then user engagement can be improved, but data security concerns increase if proper channels are not established
Solution Approach 1:
The patent establishes a secure intermediary channel that handles all advertising-related processing. This intermediary receives conversation data, processes it through secure topic extraction and advertisement matching, and delivers personalized ads without exposing the underlying conversation data to external advertisers. The intermediary ensures data security while enabling engaged users to receive relevant advertisements within the conversation context.
Data Source
AI summary
Disclosed herein are system, device, method and/or computer program product embodiments for intelligently augmenting conversation text data in a peer-to-peer messaging platform. An embodiment may first receive conversation text data from a peer-to-peer messaging platform. The embodiment may then identify a keyword within the conversation associated with a desired product or service. The embodiment may then query a data store for advertisements associated with the identified keyword. The embodiment may then select an advertisement using an advertisement auction service. Finally, the embodiment may transmit the identified keyword and advertisement to the peer-to-peer messaging platform, after which the peer-to-peer messaging platform may augment the conversation data with the identified keyword and advertisement.