Auto-Reply Message Composition via Webpage Content Parsing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for creating keyword-based auto-reply messages in instant messaging applications require manual editing and maintenance, leading to low efficiency and high labor costs due to the complexity of maintaining correlations between keywords and auto-reply messages.
Innovation Solution
A client system with a graphical user interface (GUI) is used to compose auto-reply messages by obtaining webpage content, generating a preview, and associating the message with predefined keywords, which are then stored on a server for automatic response to user inquiries, reducing manual labor and increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual editing and maintenance methods are used for creating keyword-based auto-reply messages, then users can create and customize auto-reply messages, but the process requires significant manual labor and time, leading to low efficiency and high labor costs
Solution Approach 1:
The system automatically copies content from the webpage to the auto-reply message, eliminating the need for manual copying and pasting. The webpage content is parsed and directly transferred to the appropriate message fields, significantly reducing manual labor and time required for creating auto-reply messages.
Solution Approach 2:
The system performs automatic parsing of webpage content, automatic association of keywords with auto-reply messages, and automatic updates when webpage content changes. This self-service automation eliminates the need for manual intervention in maintaining auto-reply messages, improving efficiency and reducing time loss.
2Ease of manufacture
If manual editing is used to create and maintain auto-reply messages with webpage content, then users can control the content, but the complexity of maintaining correlations between keywords and auto-reply messages increases labor costs
Solution Approach 1:
The system performs preliminary actions by automatically parsing webpage content, identifying key information, and pre-associating it with relevant keywords before the user needs to create or update auto-reply messages. This preliminary automation simplifies the user's task and reduces the complexity of maintaining correlations.
Solution Approach 2:
The system replaces manual mechanical operations (copying, pasting, editing, associating keywords) with automated computer-based processes. The automated parsing and association algorithms substitute for manual user actions, reducing both the ease of creation and the complexity of maintenance.
3Manufacturing precision
If automated processes are implemented for creating and updating auto-reply messages from webpage content, then efficiency and accuracy are enhanced, but the system complexity increases
Solution Approach 1:
The system copies webpage content with high fidelity, preserving the original formatting and structure while transferring it to the auto-reply message template. This automatic copying ensures accuracy without requiring manual verification, enhancing manufacturing precision.
Solution Approach 2:
The system automatically detects changes in webpage content and updates the corresponding auto-reply messages without manual intervention. This self-service mechanism maintains high accuracy by ensuring the messages always reflect the current webpage content, while the automation handles the complexity of continuous monitoring and updating.
Data Source
AI summary
This application discloses a method implemented on a client system for creating an automatic reply message. The client system obtains content information of a webpage including information concerning a plurality of content items. A graphical user interface is created using one or more of the plurality of content items. Then, the auto-reply message is composed in accordance with the plurality of content items and additional user instructions. The auto-reply message is further associated with one or more predefined keywords according to one or more auto-reply rules, and sent along with these predefined keywords to a server system. The server system is configured to return the auto-reply message automatically to a subscriber device of a public account of a social network application in response to a user inquiry including one or more predefined keywords.