Topic Feed Generator for Automatic Search Query Sharing
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Solution Overview
Problem
Current social network sites fail to effectively facilitate users in learning about and forming deeper relationships based on shared interests, as information retrieval systems are typically private and do not allow for the automatic sharing of search queries and results.
Innovation Solution
A public search system that includes a topic feed generator to automatically generate and distribute topic feeds based on user queries, allowing followers to learn about shared interests, and a search component that executes queries and returns results, while also tracking user interactions to suggest topics and people to follow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If search queries and results are kept private (conventional approach), then user privacy and security are maintained, but users cannot learn about shared interests and form deeper relationships with others
Solution Approach 1:
The patent segments search information into public and private components. Public search queries and results are automatically shared with followers to build relationships, while private searches remain confidential. This segmentation allows simultaneous achievement of information sharing for relationship building and privacy protection for sensitive searches.
Solution Approach 2:
Instead of requiring users to manually share search results (traditional approach), the system inverts the approach by automatically publishing search queries and results to followers. This inversion transforms the sharing process from an active manual task to a passive automatic function, enabling relationship building without additional user effort.
2Loss of information
If users manually share search results (conventional approach), then information can be shared with others, but the process is cumbersome and error-prone
Solution Approach 1:
The system enables self-service sharing where search queries and results automatically publish to followers without requiring user intervention. The system serves itself by capturing, formatting, and distributing search information autonomously, eliminating the need for manual copying and sharing operations.
Solution Approach 2:
The system performs preliminary action by automatically capturing and preparing search queries and results for sharing before users would need to manually share them. Topic feeds are generated in advance and made available to followers, so when users want to share information, it is already prepared and can be distributed immediately.
3Adaptability or versatility
If all search information is made public to enable relationship building, then users can discover shared interests, but user privacy and security may be compromised
Solution Approach 1:
The patent applies local quality by allowing different privacy levels for different search queries. Users can designate specific searches as public for relationship building while keeping other searches private. This localized approach to privacy enables selective information sharing, where only appropriate searches contribute to the interest graph while sensitive searches remain protected.
Data Source
AI summary
When a user enters an information retrieval query, a topic feed generator automatically generates a topic feed for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. A feed distributor component automatically distributes the topic feed, which includes the query, to the identified recipients. A search component executes the search and returns results, corresponding to the query, to the user.