Mood-Based Content Delivery System for Advertising Relevance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional advertising methods fail to account for a user's mood while providing content, leading to a lack of relevance in advertising presented to users accessing online content.
Innovation Solution
A system and method that identify and determine a user's mood through associated data, using this information to personalize and provide relevant content, such as targeted advertising, by matching mood scores with content scores and utilizing algorithms to select appropriate advertising elements based on the user's emotional state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional advertising methods are used to provide content to users, then the advertising can be delivered broadly to many users, but the relevance of the advertising to individual users' current emotional state is poor
Solution Approach 1:
The system performs preliminary analysis of user data (social media posts, search history, browsing behavior) to determine user mood before delivering advertising content. This advance preparation of mood assessment enables subsequent targeted advertising to be highly relevant without adding complexity during the actual ad delivery moment
Solution Approach 2:
The patent introduces a mood determination system as an intermediary layer between conventional advertising delivery and user reception. This intermediary analyzes various user data sources to infer emotional state, then uses this information to select and personalize advertising content, thereby bridging the gap between broad ad delivery and individual relevance
2Productivity
If user mood data is collected and analyzed to personalize advertising, then the relevance and effectiveness of advertising increases, but the complexity of data processing and system requirements increases
Solution Approach 1:
The system employs a multi-functional data processing platform that handles diverse data types (social media posts, search queries, browsing history, purchase behavior) through unified mood determination algorithms. This universal approach consolidates what would otherwise require multiple separate systems into a single integrated solution, maintaining advertising effectiveness while managing complexity
Solution Approach 2:
The patent transforms complex raw user data into simplified mood parameters (emotional state indicators) that can be directly applied to advertising selection. By changing the parameter representation from detailed behavioral data to distilled emotional states, the system maintains high advertising effectiveness while reducing the complexity of subsequent processing steps
Data Source
AI summary
A system, method, and computer program product are provided for providing content to a user utilizing a mood of the user. In use, data associated with a mood of a user is identified. Additionally, the mood of the user is determined, based on the data. Further, content is provided to the user, utilizing the mood of the user.