Social Browsing Group Segmentation for Information Relevance
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Solution Overview
Problem
Existing online platforms lack the ability to effectively provide users with actionable and relevant information about the online activities of similar users, often presenting information that is not filtered or segmented, leading to irrelevant data and privacy concerns.
Innovation Solution
A computer system allows users to join groups based on interests and view information about the online behavior of group members, including viewed web pages, time spent, content shared, and products purchased, while excluding data from non-group users, using a user group module to track and manage membership and behavior data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If information about all users' online activities is provided to users, then the quantity of information available increases, but the relevance and usefulness of the information decreases
Solution Approach 1:
The patent segments the user base into distinct groups based on shared characteristics, interests, or behaviors. By dividing the monolithic user population into smaller segments, the system can provide information about online activities that is both abundant in quantity and highly relevant to each segment's specific interests and context.
2Quantity of substance
If information about all users' online activities is provided to users, then the quantity of information available increases, but privacy concerns increase
Solution Approach 1:
Segmentation allows the system to limit information sharing to relevant groups only, rather than exposing all users' activities to everyone. This reduces privacy intrusions while maintaining information availability within appropriate boundaries.
Solution Approach 2:
The patent implements local quality by providing different information sets to different user groups based on their specific characteristics and permissions. Each group receives information tailored to their context, which maximizes relevance while minimizing unnecessary exposure to unrelated users' private activities.
3Productivity
If social media applications inform users of actions taken by other users, then user engagement increases, but the actionability and usefulness of the information is limited
Solution Approach 1:
The patent implements feedback mechanisms that provide users with actionable information about group members' online activities. This feedback is designed to be specific and contextually relevant, enabling users to take meaningful actions such as discovering new content, understanding group interests, or making informed decisions about their own online behavior.
Data Source
AI summary
A computer system enables users of an Internet application (such as a web site or a mobile application) to specify that they wish to be members of one or more groups. The computer system provides the user with information about activities performed by other users who are members of the same group as the user. For example, the computer system may inform a user of the web pages currently being viewed and/or recently viewed by other users who are members of the same group(s) as the user. Examples of other information that the computer system may inform the user about include amount of time spent by other users in the same group on particular web pages, content shared by those users, and products purchased by those users. Groups may be created by the users themselves and/or by the administrators of the Internet application.