Keyword Recommendation System for Text Messaging Content Discovery
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Solution Overview
Problem
Users of mobile devices, especially those without data plans or in areas with poor network coverage, face difficulties in accessing specific information quickly due to cumbersome website browsing and high data requirements, while text messaging services offer a potential solution but lack effective discovery mechanisms for relevant content.
Innovation Solution
A method and system for recommending personalized and relevant keywords for a global textsite platform using a text messaging service, which analyzes usage patterns and combines various recommendation sources to suggest keywords, enabling users to access content efficiently through a text messaging service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users browse websites on mobile devices to access information, then information accessibility is improved, but data consumption increases and access time increases due to loading graphics and advertisements
Solution Approach 1:
The patent extracts only the essential text content from websites, removing graphics, advertisements, and other non-essential elements. This is achieved by converting website content into text-only format that can be delivered via SMS, thereby reducing data consumption while maintaining information accessibility.
Solution Approach 2:
The patent creates a simplified text-based copy of website content that can be accessed through text messaging services. This text copy preserves the essential information while being compatible with basic mobile devices and consuming minimal data, effectively copying the core value of the original website without its overhead.
2Loss of information
If users browse websites on mobile devices to access information, then information accessibility is improved, but access time increases due to loading all website elements
Solution Approach 1:
The patent extracts only the essential text content from websites, removing graphics, advertisements, and other non-essential elements. This is achieved by converting website content into text-only format that can be delivered via SMS, thereby reducing data consumption while maintaining information accessibility.
Solution Approach 2:
The patent uses SMS messages as a temporary, lightweight载体 for information delivery. Instead of requiring users to load entire websites with all their elements, the system delivers concise text-based information that can be quickly received and discarded, reducing access time and data consumption.
3Adaptability or versatility
If text messaging service platform provides information content, then accessibility for users without data plans is improved, but users lack effective discovery mechanism for relevant content
Solution Approach 1:
The patent implements a feedback mechanism where the system analyzes user behavior, keyword usage patterns, and content interaction data to generate personalized keyword recommendations. This feedback loop enables the system to learn from user preferences and improve content discovery over time, making the platform more adaptive to individual user needs.
Solution Approach 2:
The patent enables users to discover relevant content through automated keyword recommendations generated by the system based on their usage patterns. Instead of requiring users to manually search through all available content, the system self-generates personalized recommendations, reducing the effort required for content discovery while maintaining accessibility for users without data plans.
Data Source
AI summary
A method and system for recommending relevant and personalized content retrieving keywords to users of a text messaging service (TMS) based content platform. Embodiments of the invention provide a discovery mechanism for introducing registered keywords identifying published information in the TMS based content platform that may be of interest to the user. In particular, the solution is hybrid in nature combining various sources of recommendations (e.g., based on past usage patterns, emerging trends, expert suggestions, etc.) to select recommended keywords. Based on this keyword discovery/recommendation mechanism, users with a basic phone and without smartphone data plans can discover contents through a TMS based content platform.