Dynamic Brand Profile Adaptation in Social Networks
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Solution Overview
Problem
Current online advertising techniques in social networking services lack variability and relevance, failing to effectively utilize social networks to provide interesting and targeted advertising to users.
Innovation Solution
The system enables users to create shareable brand profiles based on spatial, temporal, social, and topical data, allowing for the generation of modified brand profiles that can be filtered, sorted, and recommended, and displayed on user profile pages, leveraging user interactions and relationships to enhance advertising relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional banner ads and contextual ads are used in social networking services, then advertising can be delivered to users, but the advertising lacks variability and relevance to users' interests
Solution Approach 1:
The patent implements dynamic brand profiles that automatically modify their representation based on user interactions and contextual data. The brand profile adapts in real-time by incorporating spatial, temporal, social, and topical information from user behavior, transforming static advertising into a dynamic, context-aware system that evolves with user engagement patterns.
Solution Approach 2:
The system changes multiple parameters simultaneously including spatial location data, temporal timing information, social relationship data, and topical interest markers. By modifying these parameters based on user interactions, the system generates varied and relevant brand representations that adapt to different contexts and user states without requiring complex manual configuration.
2Productivity
If static topic icons are displayed in user profiles, then advertising space is utilized, but the advertising provides little to no variability and fails to engage users
Solution Approach 1:
The system implements feedback loops where user interactions with brand profiles generate data that is fed back into the system. This feedback includes spatial movements, temporal patterns, social connections, and topical engagements, which are then used to continuously refine and personalize brand representations, creating a self-improving advertising system that increases engagement while preserving user interest information.
Solution Approach 2:
The system performs preliminary actions by pre-collecting and organizing spatial, temporal, social, and topical data about users before generating brand representations. This preparatory data collection and processing enables the system to quickly generate relevant and varied advertising content that resonates with user interests without losing valuable information about user preferences and behaviors.
3Adaptability or versatility
If brand profiles are customized for each user based on interactions, then advertising relevance improves, but data processing and profile generation complexity increases
Solution Approach 1:
The patent merges multiple types of data (spatial, temporal, social, topical) into a unified brand profile structure. By combining these diverse data sources into a single integrated representation, the system achieves high personalization and adaptability while simplifying the processing architecture compared to maintaining separate processing systems for each data type.
Solution Approach 2:
The brand profile system serves multiple functions simultaneously: it tracks user interactions, stores preference data, generates personalized representations, and adapts to changing user states. This multi-functional design reduces overall system complexity by consolidating what would otherwise require multiple separate systems into a single universal brand profile mechanism.
Data Source
AI summary
A brand engine receives a request from a user device operated by a first user to display user information of a second user. User information of the first user is mapped to at least the user information of the second user by the brand engine. The mapping may map the user information of the first user to user information of further users in a social network. The mapping may map of any combination of spatial, temporal, social, and topical data related to the users. A modified representation of a brand profile of the second user is generated by the brand engine based on the mapping. The modified representation is transmitted to the user device. The user device displays the modified representation for the first user. The modified representation of the brand profile may include any combination of filtered and/or sorted brand objects, recommended brand objects, and/or modified brand objects.