Social Network Feed Mechanism for Automatic Data Push
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In cloud computing environments, conventional database management techniques make it difficult for users to be informed about the activities of other users or to identify relevant social network data, leading to inefficient, untimely, and incomplete information dissemination.
Innovation Solution
The system automatically informs users of relevant social network data by associating keywords with user profiles and group data, allowing for the automatic push of relevant content based on user interests, without the need for users to actively follow entities or search for information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional database management techniques are used, then users can access database resources, but users cannot be informed about the activities of other users or identify relevant social network data
Solution Approach 1:
The patent introduces an intermediary component (social network module/feed mechanism) that sits between the database management system and users. This intermediary automatically captures user activities, processes them through keyword matching, and delivers relevant information to appropriate users without requiring direct user-to-user notification mechanisms.
Solution Approach 2:
The system implements self-service by automatically generating and distributing information about user activities without requiring manual intervention. The database system itself performs the information dissemination function through automated keyword matching and feed generation, eliminating the need for users to manually create reports or notifications.
2Productivity
If users manually create reports about their activities, then information can be shared, but the process is inefficient, not timely, and incomplete
Solution Approach 1:
The system performs preliminary action by automatically capturing and processing user activities as they occur in the database. Instead of waiting for users to manually create reports after activities complete, the system proactively identifies activities, matches them with relevant keywords, and prepares information for distribution in real-time.
Solution Approach 2:
The patent implements feedback mechanisms where users receive automatic notifications about relevant activities in their feeds. This creates a closed-loop information system where activity data flows from users to the system and back to relevant users, ensuring timely and continuous information dissemination without manual report creation.
3Ease of operation
If users actively search for information or follow entities, then they can find relevant data, but this requires active user participation and does not ensure timely delivery
Solution Approach 1:
The patent inverts the traditional information seeking approach by instead of having users actively search for or follow information, the system automatically pushes relevant information to users based on their profiles and interests. This inversion eliminates the need for active user participation in information discovery while ensuring timely delivery of relevant content.
Solution Approach 2:
The system performs self-service by automatically identifying and delivering relevant information to users without requiring their active participation. Users simply need to have their profiles set up with interests and keywords, and the system handles the entire information discovery and delivery process autonomously.
Data Source
AI summary
Disclosed are examples of apparatus, methods, and computer readable storage media for informing one or more users of social network data such as group data when the data is relevant to the user(s). For example, when one or more keywords are identified as being associated with both a group of an online social network and the user, a communication with information identifying the group data can be generated and provided to a display device accessible by the user. In another example, social network data is associated with an entity of the online social network, and the entity is not being followed by the user. Social network data identified as related to one or more keywords can be provided to a display device in a suitable presentation accessible by the user.