Targeted Content System Using Multi-Platform Data Aggregation
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Solution Overview
Problem
Existing methods for presenting targeted content, such as collaborative filtering and social networking platform-based recommendations, fail to adequately consider the preferences of the gift recipient and do not effectively aggregate information across multiple social networking platforms, leading to irrelevant recommendations.
Innovation Solution
A system and method that enables users to sign into a website, generates identifiers for users and their friends, aggregates information from multiple social networking platforms, and uses this information to provide relevant targeted content, including gift recommendations, by integrating an authentication module, data aggregation module, identifier generation module, and targeted content selection module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If collaborative filtering is used to present targeted content, then the system can provide recommendations based on user groups, but unrelated recommendations are presented to users and the preference of the gift recipient is not considered
Solution Approach 1:
The patent segments the user base into different roles (gift giver, gift recipient, friend) and creates separate preference profiles for each role. This segmentation allows the system to consider both the gift giver's purchasing history and the gift recipient's preferences, resolving the contradiction by maintaining efficiency through automated segmentation while improving relevance through role-specific preference analysis.
Solution Approach 2:
The patent applies local quality by creating context-specific recommendation strategies for different user roles and situations. Instead of a uniform collaborative filtering approach, the system tailors the recommendation quality to local contexts (gift-giving vs. personal use, different user roles), thereby improving recommendation relevance without sacrificing overall system efficiency.
2Device complexity
If information is gathered from only one social networking platform, then the implementation is simple, but the user socializes on multiple platforms and the interactions are isolated from each other
Solution Approach 1:
The patent merges information from multiple social networking platforms by implementing a unified user profile system that aggregates data across Facebook, LinkedIn, and other platforms. This combining approach reduces information loss by consolidating isolated interactions into a comprehensive user profile, while managing complexity through a centralized architecture that handles multiple data sources systematically.
Solution Approach 2:
The patent creates a universal user profile system that functions across multiple social networking platforms simultaneously. This multi-functional approach allows the system to gather and process information from various platforms through a single unified interface, thereby preventing information loss without proportionally increasing implementation complexity.
3Ease of operation
If a user logs in with online social networking authentication credentials, then the user can access the web portal, but the user is asked to provide access to information and must grant rights to access the information
Solution Approach 1:
The patent applies preliminary action by obtaining user consent and authorization before actually accessing or processing any social networking information. The system performs the authorization setup in advance, stores the granted permissions securely, and uses them automatically for data aggregation, thereby maintaining ease of operation while managing authentication complexity through pre-configured access rights.
Data Source
AI summary
A method and system for presenting targeted content to users over the internet is provided. The method includes enabling a user to sign into a website. An identifier is generated for the user, if the user is signing into the website for the first time. Information corresponding to the user is mined and the information is linked to the user. Further, verification is made to determine whether the generated identifier matches with existing identifiers. If the generated identifier matches with an existing identifier, then existing information corresponding to the matched identifier is linked to the user. Targeted content is presented to the user by processing at least the information linked to the user.