Social Network Keyword Indexing for Mutual Interest Matching
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Solution Overview
Problem
Existing social networking systems face challenges in connecting users who do not share a direct relationship, as they struggle to accurately index, store, and display information related to mutual interests or needs, making it difficult for users to find relevant information and postings.
Innovation Solution
A system and method utilizing a central keyword database to tag user profiles and postings, with an automatic matching algorithm that displays relevant information in event calendars, news feeds, and search results, while considering privacy settings, allowing users to customize their content based on interests and relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If social networks store and access user profile and posting data using conventional methods, then users can maintain privacy settings and direct relationships, but users who do not share a direct relationship cannot easily connect or view accurate information concerning mutual interests or needs
Solution Approach 1:
The system pre-tags user profiles and postings with keywords from a central keyword database before users need to search or connect. This preliminary indexing of content with standardized keywords enables efficient retrieval and matching of users with mutual interests without requiring direct relationships, resolving the contradiction between ease of connection and information accuracy.
2Measurement precision
If social networks provide search functionality and posting feeds, then users can access information, but it is difficult to find accurate information and postings concerning mutual interests or needs
Solution Approach 1:
The central keyword database serves multiple functions simultaneously: it indexes user profiles, tags postings, enables search functionality, and powers the matching algorithm. This universal keyword system resolves the contradiction by providing accurate matching through a single, multi-functional indexing mechanism rather than separate complex systems for each function.
3Quantity of substance
If the system displays more postings in event calendars and news feeds, then users can see more information, but it becomes difficult to filter and display only relevant information tailored to user interests
Solution Approach 1:
The matching algorithm continuously compares user profile keywords with posting keywords and adjusts which postings are displayed in event calendars and news feeds based on this feedback. This feedback mechanism ensures that the quantity of displayed postings is optimized to show only relevant information tailored to each user's interests, resolving the contradiction between quantity and relevance.
Data Source
AI summary
Methods and systems for indexing, storing, recalling and displaying social network user profiles, event calendar postings and user feed postings are described. A single, discrete set of keywords, can be utilized and assigned to both user profiles and postings and can operate as a method of indexing. The assignment of these keywords may allow users to control the display of calendar and feed content by matching assigned posting keywords to assigned profile keywords via a matching algorithm. Matched event-related postings may also be automatically displayed in a user's calendar. Searches of profiles and postings may also be performed by constructing queries using the same set of discrete keywords attached to profiles and postings. Users may have the ability to control the display of specific profile information and postings via privacy settings, which utilize unique methods of tracking relationship segmentation and social distance.