Meme-Based Targeted Advertising System
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Solution Overview
Problem
Current online advertisement targeting methods, such as site-based and keyword-based approaches, fail to accurately target user interests as they do not account for topical memes, which are essential discussions across multiple online platforms, leading to ineffective ad placement.
Innovation Solution
A computer-implemented method and system that identifies and targets advertisements based on topical memes by selecting memes, retrieving relevant content, extracting and clustering memes, aggregating viral dynamics, and delivering ads through selected advertising networks to maximize reach and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If keyword-based targeted advertising is used, then ads can be delivered to web pages containing selected keywords, but ads are displayed on thousands of web sites that do not accurately reflect end user interests
Solution Approach 1:
The patent extracts the core concept of 'memes' from the vast amount of social media content to create targeted advertising categories. Instead of using all keywords or content, it identifies and extracts recurring thematic patterns (memes) that represent genuine user interests, thereby improving targeting accuracy without sacrificing delivery efficiency
Solution Approach 2:
The patent introduces 'memes' as an intermediary layer between raw social media content and advertising delivery. This intermediary concept allows the system to translate diverse user discussions into standardized advertising categories, bridging the gap between user interests and ad placement while maintaining both precision and efficiency
2Measurement precision
If automated meme identification and targeting system is implemented, then ads can be accurately targeted to end user interests, but system complexity increases
Solution Approach 1:
The patent creates a universal meme identification system that can process multiple types of social media content (blogs, forums, social networks) through a single automated framework. This multi-functional approach handles diverse data sources using consistent algorithms, reducing system complexity while maintaining high targeting accuracy across different platforms
Solution Approach 2:
The system employs automated algorithms that self-identify memes from social media content without human intervention. The automated meme detection and categorization processes handle content analysis, pattern recognition, and ad matching independently, reducing the need for manual system configuration and management while achieving precise targeting
Data Source
AI summary
A targeted advertising system and method based on memes contained in content sources are disclosed. Content matching keywords-defining topics are identified from content sources and are further processed to extract the memes. Ad networks servicing the content are also identified and their reach for each meme determined. The system and method extract also viral dynamics of the content associated to a meme and use the aggregation of the viral dynamics as a measure of engagement level for the meme. The system and method allow a Marketer to select a meme based on the engagement level and to run an ad campaign against the meme. The advertisements are delivered through an Ad network and inserted at the meme page level when the content hosting the meme is accessed, the Ad network being selected based on its reach.