Template Text Configuration for Batch Multi-Attribute Content
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Solution Overview
Problem
Current content generation systems face challenges in efficiently handling multiple text attributes, such as different languages and styles, due to cumbersome input methods and low configuration efficiency, making it difficult to switch between them.
Innovation Solution
A method and apparatus that present a text configuration region within a target template, receive target identification information for text attributes, and generate contents based on this information, allowing for batch creation of contents with varied attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional content generation systems are used to handle multiple text attributes, then content can be generated, but the input method becomes cumbersome and configuration efficiency is low
Solution Approach 1:
The patent divides the text configuration into separate attribute dimensions (language, style, tone) with independent configuration regions. Each attribute can be configured independently through dedicated input areas, allowing users to set multiple text attributes without cumbersome interactions. This segmentation enables efficient batch configuration of contents with varied attributes by addressing each attribute separately rather than requiring complex multi-step input procedures.
2Adaptability or versatility
If multiple text attributes are configured manually, then diverse content can be generated, but the process is time-consuming and inefficient
Solution Approach 1:
The patent implements a unified text configuration region that serves multiple functions for different text attributes (language, style, tone) within a single interface. This multi-functional design allows users to configure various text attributes simultaneously in one location, enabling batch creation of contents with varied attributes without requiring separate configuration processes for each attribute, thus reducing overall configuration time.
Solution Approach 2:
The system provides preset attribute options and pre-defined configuration templates that allow users to quickly select and apply multiple text attributes at once. By preparing common attribute combinations in advance and allowing batch selection, the system reduces the time needed to configure diverse text attributes for multiple contents, enabling efficient batch processing while maintaining adaptability.
3Adaptability or versatility
If traditional attribute configuration methods are used, then content generation is possible, but switching between different attributes is difficult
Solution Approach 1:
The patent implements a dynamic configuration interface where the text configuration region can adaptively display and accept different attribute values based on the currently selected attribute type. The interface dynamically adjusts its presentation based on user selections, allowing smooth switching between different text attributes (language, style, tone) through an intuitive and responsive UI that updates in real-time, making attribute switching convenient rather than difficult.
Data Source
AI summary
According to embodiments of the disclosure, a method, an apparatus, a device, and a storage medium for content generation are provided. A method includes in response to a selection of a target template, presenting a text configuration region included in the target template; receiving target identification information based on an operation on the text configuration region, the target identification information indicating one or more attribute values for a text attribute of the text configuration region; and based on the target identification information and the target template, generating one or more contents to be distributed respectively corresponding to the one or more attribute values, wherein each content to be distributed has a corresponding attribute value in the text configuration region. Thus, contents with various text attribute values can be generated in a batch, thereby improving flexibility of content generation.