Topical-Based Highlights Filter for Social Network Data
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Solution Overview
Problem
In cloud computing environments, conventional database management techniques fail to effectively track and notify users about the activities of other users, leading to inefficient, untimely, and incomplete reports, and difficulty in identifying relevant information sources in online social networks.
Innovation Solution
Implementing a system that filters and aggregates data from multiple sources within an online social network, using highlight sources such as inner circle, global influence, topical influence, and serendipity highlights to provide relevant information and recommendations to users based on their role, responsibilities, and interests, integrating data from both enterprise and consumer social networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional database management techniques are used to track user activities, then the system structure remains simple, but the timeliness and completeness of information delivery deteriorates
Solution Approach 1:
The patent segments the social network data into multiple highlight sources (inner circle, global influence, topical influence, serendipity) and processes each separately. This segmentation allows the system to handle different types of information flows independently, improving timeliness without overwhelming the system structure.
Solution Approach 2:
The patent introduces a highlights filter as an intermediary component that sits between the raw social network data and the user. This filter aggregates and prioritizes information from multiple sources, delivering timely information without requiring complex direct connections between all system components.
2Loss of information
If data from multiple sources is aggregated and filtered, then the relevance of information improves, but the device complexity increases
Solution Approach 1:
The patent applies different filtering criteria to different highlight sources based on their specific characteristics. Each source (inner circle, global influence, topical influence, serendipity) is processed with quality appropriate to its nature, maximizing information relevance without applying a single complex filtering mechanism to all data.
Solution Approach 2:
The highlights filter serves multiple functions simultaneously: it aggregates data from diverse sources, filters information based on relevance criteria, prioritizes content, and delivers results to users. This multi-functionality reduces the need for separate specialized components, managing complexity while maintaining high information relevance.
3Productivity
If automated filtering and aggregation is implemented, then productivity increases, but the ease of operation decreases
Solution Approach 1:
The highlights filter operates autonomously, automatically aggregating and filtering data from multiple highlight sources without requiring manual user intervention. The system self-manages the complex tasks of data collection, filtering, and prioritization, maintaining high productivity while minimizing the operational burden on users.
Solution Approach 2:
The system performs preliminary filtering and aggregation actions automatically before presenting information to users. By pre-processing the data and organizing it into relevant highlights, the system improves information dissemination efficiency without requiring users to manually configure or manage the complex filtering processes.
Data Source
AI summary
Disclosed are methods, apparatus, systems, and computer readable storage media for filtering content to be displayed in an online social network. Highlights from a plurality of highlight sources relevant to a first user can be received. Topics or other subject matter associated with the received highlights can be identified and social network data to be presented to the first user can be determined based on the identified subject matter. In some implementations, data indicating the determined social network data can be generated and provided to a display device associated with the first user. A presentation including a reference to the determined social network data can be displayed on the display device.