Web Content Enhancement via Search Query Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current web-based advertising techniques struggle to provide targeted and relevant content to users, as they rely on manual selection of websites by advertisers, leading to inefficiencies in reaching the right audience with relevant information.
Innovation Solution
A content enhancement server that analyzes web search queries and web page content to dynamically select and embed additional content, such as advertisements, into web pages, based on relevance and user search history, using algorithms to convert keywords into interactive links and select relevant content for presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual selection of websites by advertisers is used, then advertisers can select websites related to their business, but the system cannot efficiently reach the right audience with relevant information
Solution Approach 1:
The system enables self-service by allowing web pages and advertisements to automatically match based on content analysis. The content enhancement server dynamically analyzes web page content and automatically selects relevant advertisements without requiring manual advertiser intervention, thus improving productivity while reducing system complexity.
Solution Approach 2:
The patent replaces the mechanical manual selection process with automated content analysis algorithms. The system uses text analysis, keyword matching, and relevance scoring to automatically determine which advertisements should be displayed on which web pages, substituting human effort with computational processes.
2Adaptability or versatility
If generic advertising promotions are displayed on web pages, then websites can attract potential consumers, but the content is not targeted or relevant to user interests
Solution Approach 1:
The system applies local quality by making each web page's advertisement content unique and tailored to that specific page's topic and the user's interests. Instead of displaying the same generic ads across all pages, the system analyzes each page's content and selects advertisements that are locally relevant to that specific context.
Solution Approach 2:
The advertisement selection is dynamic rather than static. The system continuously analyzes web page content, user behavior, and search queries to adaptively select and update advertisements in real-time, ensuring content relevance changes dynamically based on current context and user preferences.
3Productivity
If advertisers manually select websites, then they can control where their ads appear, but the process is inefficient and time-consuming
Solution Approach 1:
The system performs preliminary action by pre-analyzing web page content and pre-selecting potential advertisements before users even visit the pages. The content enhancement server continuously monitors and analyzes web content, preparing relevant advertisement matches in advance, so that when a user visits a page, the relevant ads are already ready for immediate display.
Solution Approach 2:
The patent replaces the time-consuming manual ad placement process with automated content analysis and matching algorithms. The system uses computational processes to rapidly analyze web pages and match advertisements, deploying ads instantly without human intervention, thus dramatically increasing productivity and eliminating time loss.
Data Source
AI summary
Methods and systems for enhancing a web page are described. Consistent with some embodiments, a content enhancement server analyzes receives a user's web search query submitted to a search engine during a web browsing session. Using the received web search query, the content enhancement server performs various algorithmic operations to select text within a web page being presented to a user for conversion to an interactive link, and/or to select content (e.g., an advertisement) to be presented in connection with the presentation of the web page.