Dynamic Help Document Suggestion System for Online Service Portals
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Solution Overview
Problem
Conventional on-demand services lack efficient search features that provide relevant help document suggestions to users, requiring users to input full search terms and sift through results, without community feedback or relevant document recommendations.
Innovation Solution
A method for dynamically suggesting answers by receiving user input, calculating scores for search terms based on frequency and relevancy, and providing ranked suggestions, which can be refined through user feedback to improve search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional search features require users to input full search terms and sift through results, then search completeness is maintained, but search efficiency and user time are reduced
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing scores for multiple potential search terms before the user completes their input. As the user types each character, the system has already identified and ranked suggested terms, allowing immediate presentation of relevant options without requiring the user to finish typing or manually search through results.
Solution Approach 2:
The system implements feedback by continuously monitoring user input and dynamically updating suggested search terms based on the evolving query. The suggested terms are re-ranked in real-time as the user types, providing feedback that adapts to the user's changing search intent and helps them quickly identify the most relevant help documents.
2Reliability
If no community feedback mechanism is provided, then system simplicity is maintained, but search term relevancy and helpfulness are reduced
Solution Approach 1:
The system practices self-service by automatically calculating scores for search terms using predefined criteria such as frequency of use and relevancy to help documents. The system autonomously identifies and ranks suggested search terms without requiring manual curation or complex community feedback mechanisms, maintaining simplicity while improving search quality through automated scoring.
3Ease of operation
If help document suggestions are not provided proactively, then system simplicity is maintained, but user assistance effectiveness is reduced
Solution Approach 1:
The system performs preliminary action by proactively generating and presenting suggested search terms and relevant help documents before the user completes their search query. This allows users to immediately see potential answers and relevant documentation without having to formulate complete search terms or manually browse through results.
Solution Approach 2:
The system acts as an intermediary by introducing a suggestion mechanism that mediates between the user's partial input and the help document database. The suggested search terms serve as intermediaries that guide users to relevant help documents, making the search process more effective without requiring direct user-to-database interaction.
Data Source
AI summary
In accordance with embodiments, there are provided mechanisms and methods for dynamically suggesting answers to questions submitted to a portal of an online service. These mechanisms and methods for dynamically suggesting answers to questions submitted to a portal of an online service can enable embodiments to provide help document suggestions with limited user input. The ability of embodiments to provide help document search term suggestions with limited user input can enable users to quickly and efficiently find useful help documents.