Ad Creative Title Promotion via Complete Phrase Extraction
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Solution Overview
Problem
Existing content presentation technologies fail to effectively promote complete phrases or sentences from the body portion to the title portion of advertisements, leading to suboptimal user engagement and click-through rates, as they often lack efficient methods to identify and prioritize complete sentences for promotion.
Innovation Solution
A computer-implemented method using processors to identify and promote complete phrases or sentences from the body portion to the title portion of advertisements by evaluating the body text for sentence completeness, applying tests to determine if words complete sentences, and using N-gram probability analysis to determine the likelihood of sentence endings, thereby enhancing the title portion with relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content is presented in traditional advertisement format with separate title and body portions, then the advertisement structure is simple and easy to manufacture, but user engagement and click-through rates are suboptimal due to incomplete phrases in the title
Solution Approach 1:
The system performs preliminary analysis of the advertisement body text to identify complete phrases and sentences before final rendering. By pre-processing the content to detect grammatical completeness and semantic value, the system prepares candidate phrases for promotion to the title portion, thereby improving user engagement without adding complexity during the actual advertisement display phase
Solution Approach 2:
The patent replaces manual content editing and traditional keyword-based title selection with automated natural language processing and machine learning algorithms. The system uses computational methods to analyze grammatical structures, identify complete phrases, and predict which body text would make the most effective title, substituting mechanical human effort with automated intelligent systems
2Productivity
If complete phrases are promoted from body portion to title portion, then click-through rates increase, but the processing and evaluation of body text becomes more complex
Solution Approach 1:
The advertisement content performs self-service by automatically identifying its own complete phrases and sentences within the body text. The system uses self-contained grammatical analysis and semantic evaluation algorithms that allow the content to select and promote its most valuable phrases without requiring external manual intervention, thereby improving click-through rates while managing processing complexity through automation
Solution Approach 2:
The system implements feedback loops where the performance of promoted phrases is tracked and used to refine future selection decisions. By analyzing which complete phrases generate the highest engagement and click-through rates, the system continuously improves its phrase selection algorithm, making the increasingly complex processing more efficient and accurate over time
3Ease of operation
If the title portion is expanded to include complete phrases from the body, then advertisement engagement improves, but the advertisement length and information redundancy increase
Solution Approach 1:
The system extracts only the essential complete phrases and sentences from the advertisement body that contain the core message or call to action. By selectively taking out only the most valuable complete phrases for promotion to the title portion, the system enhances engagement without copying redundant information, maintaining a balance between title enrichment and information efficiency
Solution Approach 2:
The system applies partial action by promoting only specific complete phrases that meet certain criteria for engagement value, rather than promoting all complete phrases indiscriminately. This selective approach ensures that the title portion is enhanced with high-value content while avoiding excessive redundancy, maintaining optimal advertisement length and information density
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a computer-implemented method that includes identifying, using one or more processors, a creative for processing. The creative includes a title portion and a body portion. The body portion includes a plurality of lines of text includes a first line of text and a second line of text. The method further includes evaluating the body portion including determining when the body portion includes a complete phrase. The evaluating includes applying a test to one or more words in the body portion. The method further includes promoting, using the one or more processors, the complete phrase into the title portion. The method further includes providing the creative includes the title portion with the promoted complete phrase.