In-Text Embedded Advertising via Semantic Word Replacement

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Solution Overview

Problem

Existing online advertising methods struggle to effectively integrate advertisements into webpage content without degrading the user's experience, as users often ignore separate advertisements and prefer relevant content.

Innovation Solution

A system that analyzes webpage keywords to embed advertisements seamlessly into the original text by modifying the content using a composition server, which selects and integrates advertisements based on user logs, word clustering, and bidding rules, ensuring the advertisement is contextually relevant and grammatically correct.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If advertisements are placed separately from the main text (banner or sidebar), then the original text remains unchanged and easy to read, but users can easily focus only on the non-advertising content and ignore the advertisements

Engineering Contradiction:
Improveease of reading original textVSAvoidadvertising effectiveness
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent merges advertisements with the original text content by replacing selected words in the text with advertisement content. This integration ensures that the advertisement becomes part of the readable flow, making it difficult for users to ignore while preserving the overall readability of the original text through contextual replacement.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system uses an intermediary process that analyzes the original text, identifies suitable replacement words based on contextual relevance, and inserts advertisement content that blends with the surrounding text. This intermediary mechanism ensures both readability maintenance and advertising effectiveness through intelligent word selection and placement.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If advertisements are embedded by replacing words in the text, then the advertisement becomes integrated and harder to ignore, but there is a risk of degrading the meaning of the original text

Engineering Contradiction:
Improveadvertising effectivenessVSAvoidoriginal text meaning
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent applies local quality by analyzing the contextual environment of each candidate word and selecting replacement words that match the local semantic context. This ensures that the advertisement content fits naturally into the specific location within the text, preserving the overall meaning while achieving effective integration.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system changes parameters such as word length, semantic category, and contextual relevance when selecting advertisement words to replace original text words. By adjusting these parameters, the system ensures that the replacement maintains grammatical correctness and contextual appropriateness, thereby preserving the original text's meaning while embedding the advertisement.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If keyword-based advertising is used to identify relevant advertisements, then advertisements can be matched to webpage content, but the advertisements remain separate from the main text and easy to ignore

Engineering Contradiction:
Improveadvertising relevanceVSAvoiduser attention capture
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent combines keyword-based advertisement selection with text integration by replacing words in the original text with advertisement content that matches the identified keywords. This merging approach ensures that the advertisement is both relevant to the webpage content (through keyword matching) and integrated into the text flow (through word replacement), making it difficult for users to ignore.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS8352321B2In-text embedded advertising
Publication Date: 2013.01.08 MICROSOFT TECHNOLOGY LICENSING LLC
  • US8352321B2 patent drawing
  • US8352321B2 patent drawing
  • US8352321B2 patent drawing

AI summary

Computer program products, devices, and methods for generating in-text embedded advertising are described. Embedded advertising is “hidden” or embedded into a message by matching an advertisement to the message and identifying a place in the message to insert the advertisement. For textual messages, statistical analysis of individual sentences is performed to determine where it would be most natural to insert an advertisement. Statistical rules of grammar derived from a language model may be used choose a natural and grammatical place in the sentence for inserting the advertisement. Insertion of the advertisement creates a modified sentence without degrading a meaning of the original sentence, yet also includes the advertisement as a part of a new sentence.