Personalized Question Feed Platform for Online Consultation Systems
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Solution Overview
Problem
Online consultation systems lack the ability to allow users to create and customize information feeds based on their interests, leading to reduced user engagement and revisits.
Innovation Solution
The system enables users to create, edit, and follow information feeds based on categories, topics, experts, questions, or combinations thereof, using a user interface that allows for implicit and explicit topic selection, and automatic suggestion of related questions and topics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually search for answers in the consultation system, then they can find relevant information, but it increases the time and computing resources required
Solution Approach 1:
The system pre-generates information feeds by categorizing and organizing questions, answers, and topics before users need them. Feeds are prepared in advance based on subject matter categories, expert profiles, and topic relationships, so when users access the system, personalized content is already available without requiring manual searching.
Solution Approach 2:
The system automatically generates and updates personalized feeds for each user based on their profile, browsing history, and interactions. The feed generation process is self-service oriented, where the system autonomously curates content without requiring user effort to search or filter information manually.
2Adaptability or versatility
If the system provides generic information feeds to all users, then implementation is simple, but user engagement and personalization are reduced
Solution Approach 1:
The information feed system is segmented into multiple independent components: subject matter category feeds, expert profile feeds, topic-based feeds, and user preference feeds. Each feed type is generated and managed separately, allowing the system to provide highly personalized content while maintaining modular architecture that simplifies implementation and maintenance.
Solution Approach 2:
The feed generation system serves multiple functions simultaneously: it categorizes content by subject matter, identifies relevant experts, tracks user preferences, and personalizes delivery all through a unified feed mechanism. This multi-functional approach enables high adaptability without proportionally increasing system complexity.
3Adaptability or versatility
If the system allows extensive user customization of feeds, then personalization is improved, but ease of operation decreases
Solution Approach 1:
The user interface dynamically adapts based on user behavior and preferences. Initially, users receive pre-configured feeds with basic customization options. As users interact with the system, the interface automatically refines and personalizes feed content, reducing the need for manual configuration while increasing personalization over time.
Solution Approach 2:
The system continuously monitors user interactions with feed content and uses this feedback to automatically adjust and personalize feeds. User preferences are inferred from browsing patterns, clicks, and engagement metrics, allowing the system to improve personalization automatically without requiring users to navigate complex customization interfaces.
Data Source
AI summary
Embodiments of the present invention further provide systems and methods for allowing users in an online consultation system to create, edit and follow information feeds related to a subject matter category, topic, person or a combination thereof.