Search Query Matching for Real-Time User Communication
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Solution Overview
Problem
Users searching for common subject matter on a computer network, such as through web browsers, lack a mechanism to communicate with others sharing similar interests, especially for infrequent or ephemeral interests, as existing platforms like chat rooms and forums require pre-existing associations or persistent interests.
Innovation Solution
A computer-implemented method and system that receives and analyzes search queries to identify common subject matter among users, enabling them to communicate through a chat server and search registry server, allowing for the formation of search parties for real-time information sharing without prior knowledge or association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If chat rooms and forums are used for communication, then users with persistent interests can share information, but users with infrequent or ephemeral interests cannot easily communicate
Solution Approach 1:
The system performs preliminary actions by monitoring and analyzing user search queries before communication is needed. It proactively identifies users with common search interests and automatically creates or adds them to search parties, so when users need to communicate, the communication channel is already prepared and ready for immediate use.
Solution Approach 2:
The search party system acts as an intermediary between users with ephemeral interests and communication channels. Instead of requiring users to find and join existing chat rooms or forums, the system mediates by automatically creating temporary communication groups based on real-time search query analysis, bridging the gap between users and appropriate communication channels.
2Ease of operation
If existing communication platforms are used, then users can communicate, but they must already know each other or be associated with one another
Solution Approach 1:
The system enables self-service communication by automatically analyzing user search queries and identifying potential communication partners based on common interests. Users don't need to manually search for or add each other; the system autonomously creates search parties and facilitates connections, allowing users to immediately communicate with strangers who share their search interests.
Solution Approach 2:
The system changes the parameters for establishing communication by shifting from requiring pre-existing user associations (traditional approach) to using real-time search query analysis (new approach). This parameter change enables communication between users who don't know each other by using their current search behavior as the basis for forming communication groups.
3Reliability
If manual formation of interest groups is used, then users can communicate about specific topics, but it requires users to actively seek out discussion channels
Solution Approach 1:
The system performs preliminary analysis of user search queries to identify common interests before users need to communicate. By continuously monitoring search patterns and pre-processing query data, the system is ready to immediately form search parties when users with matching interests are detected, eliminating the time users would otherwise spend seeking out appropriate discussion channels.
Solution Approach 2:
The system uses feedback from user search queries to dynamically create and update search parties. By analyzing search query data in real-time and providing feedback about common interests, the system automatically adjusts communication group formations, ensuring users are connected to the most relevant topic-specific discussions without manual intervention.
Data Source
AI summary
Users searching for common subject matter on a computer network are identified and enabled to communicate with one another, such as by engaging in an on-line chat. The users' search queries are transmitted to a server and processed to identify which users are searching for common subject matter within a time window. A dialogue such as an on-line chat is launched and the identified users are invited to join. The users may preview the chat before joining. The users can share links to resources such as web pages and provide annotations to accompany the links. Additionally, the users' search queries may be shared in the chat. The functionality may be provided by a plug-in to web browser software, or by an executable script embedded in a web page of search results.