Advertisement Title Rewriting via Placeholder Segmentation
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Solution Overview
Problem
Existing advertisement title rewriting systems struggle to ensure information consistency between rewritten and original titles, particularly in maintaining brand and price information, which is crucial to avoid false advertising.
Innovation Solution
The proposed method involves replacing preset information in advertisement titles with placeholders to create a title template, which is then rewritten using a neural network model incorporating an advertisement attribute key-value table and query cluster. The placeholders are subsequently replaced with original information to ensure consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a neural network model is used to rewrite advertisement titles automatically, then productivity is improved, but information consistency between rewritten and original titles deteriorates
Solution Approach 1:
The advertisement title is segmented into preset information (brand, price, etc.) and other content. Placeholders are used to mark preset information positions, allowing the neural network to rewrite only the non-preset parts while preserving critical information integrity.
Solution Approach 2:
Placeholders serve as intermediaries between the original advertisement title and the rewritten title. They preserve preset information throughout the rewriting process, ensuring that critical data like brand names and prices remain consistent while allowing creative rewriting of other portions.
2Reliability
If manual rewriting is used to ensure information consistency, then reliability is improved, but productivity deteriorates
Solution Approach 1:
Preset information is identified and replaced with placeholders before the rewriting process begins. This preliminary action ensures that critical information is protected from accidental modification while enabling automated rewriting of the remaining content.
3Adaptability or versatility
If the neural network model rewrites the entire title freely, then adaptability is improved, but information consistency deteriorates
Solution Approach 1:
Different parts of the advertisement title are treated differently. Preset information positions are constrained to maintain consistency, while other positions are allowed free rewriting to improve adaptability and attract user attention.
Data Source
AI summary
Provided are an advertisement title rewriting method, apparatus and device and a storage medium. The method includes steps described below. Preset information in an advertisement title is replaced with a corresponding placeholder so that the advertisement title is converted into a title template; a rewritten title template is generated through a preset neural network model according to the title template, an advertisement attribute key-value table and a query cluster; and the placeholder in the rewritten title template is replaced with the corresponding preset information so that the rewritten title template is converted into a rewritten title.


