Link Placement Recommendation System for Search Engine Ranking

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Solution Overview

Problem

Current marketing techniques lack effective methods for recommending relevant web pages or content sources for link placement, which hinders the organic increase of search engine rankings for target web pages.

Innovation Solution

A marketing activity support system (MASS) that recommends web pages based on link frequency, utilizing search engines to identify highly ranked pages and ordering them by the number of references they provide to other relevant pages, thereby increasing the search engine rank of target web pages through inbound links.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual link placement is used, then link placement precision can be controlled, but productivity and effectiveness are reduced

Engineering Contradiction:

Improvelink placement effectivenessVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system automatically identifies and recommends web pages for link placement based on link frequency analysis, allowing the system to serve itself rather than requiring manual analysis of each web page's link structure and relevance to the target domain

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual link placement processes with an automated computer-based system that uses algorithms to analyze link frequencies, identify relevant web pages, and generate placement recommendations, substituting human mechanical analysis with computational automation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If links are placed on frequently referenced web pages, then search engine ranking improves, but the difficulty of identifying suitable pages increases

Engineering Contradiction:

Improvesearch engine rankingVSAvoidpage identification difficulty

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system uses link frequency data as feedback to automatically identify and rank web pages that are most suitable for link placement, creating a feedback loop where link analysis results directly guide page selection and placement recommendations

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent changes the approach from manual evaluation of multiple page characteristics to a single measurable parameter - link frequency - which automatically serves as a proxy for page relevance and suitability, simplifying the detection and measurement process

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS9171320B2Recommending link placement opportunities

Publication Date: 2015.10.27 GOLUB CAPITAL MARKETS LLC AS COLLATERAL AGENT

AI summary

Techniques for recommending Web pages or other content sources as candidates for link placement are described. Some embodiments provide a marketing activity support system (“MASS”) configured to recommend candidate Web pages for link placement. Recommending candidate Web pages may include determining multiple Web pages that include or reference one or more keywords that describe some subject matter domain. Recommending candidate Web pages may then further include ranking or ordering at least some of the multiple Web pages based on how many times each of the at least some Web pages references another one of the multiple Web pages. The ordered Web pages may then be presented as recommended candidate sites for link placement.