Inactive URL Content Matching via Search Query Analysis
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Solution Overview
Problem
Conventional methods for providing relevant content to users who enter inactive Uniform Resource Locators (URLs) are limited, often resulting in generic results or reliance on domain name interpretation, failing to accurately match user interests.
Innovation Solution
A system and method that utilizes search queries entered or suggested on a web page associated with an inactive URL to select and display relevant advertisements, where the search query log is used to identify and update keywords for more accurate content matching, including a URL matching engine that parses URLs, identifies keywords, and selects advertisements based on semantic analysis and user search behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to provide content for inactive URLs, then the system is simple and easy to operate, but the content relevance to user interests is low
Solution Approach 1:
The system performs preliminary actions by collecting and analyzing search queries from multiple users before generating advertisement content. Search query logs are accumulated and processed in advance to identify common search terms and user interests, which then inform the selection of relevant advertisements for inactive URLs. This preliminary analysis enables the system to provide targeted content without requiring complex real-time analysis for each individual user.
Solution Approach 2:
The system implements feedback mechanisms by monitoring user interactions with displayed advertisements and search queries. Click-through rates, user selections, and search behavior are tracked and fed back into the system to refine keyword identification and advertisement selection algorithms. This feedback loop continuously improves content relevance by adapting to actual user preferences rather than relying solely on initial domain name interpretations.
2Measurement precision
If domain name interpretation is used to identify relevant content, then the method is simple, but it fails to accurately match user interests
Solution Approach 1:
The system merges multiple information sources including domain name interpretation, search query logs, user click behavior, and keyword analysis to comprehensively determine user interests. By combining these diverse data sources, the system overcomes the limitations of relying solely on domain name interpretation and achieves more accurate matching of user interests with relevant advertisement content.
Solution Approach 2:
The system introduces search query logs and keyword analysis as intermediary elements between the inactive URL and the advertisement selection process. These intermediaries capture and process user search behavior information, translating raw search data into meaningful insights about user interests that then guide advertisement selection, thereby preventing loss of valuable search behavior information.
3Productivity
If generic results are provided for inactive URLs, then the system requires minimal processing, but user engagement is low
Solution Approach 1:
The system dynamically changes parameters such as keyword weights, advertisement selection criteria, and content prioritization based on analyzed user behavior patterns. By adjusting these parameters according to search query frequency, click-through rates, and user preferences, the system generates customized content that maintains high engagement while preserving processing efficiency through systematic parameter management rather than complex individual case analysis.
Data Source
AI summary
Methods and systems for providing relevant content for inactive uniform resource locators are described. One method described comprises receiving at least one request for a web page associated with an inactive URL, providing a first web page comprising at least one of a search field and a suggested search query in response to the at least one request, receiving at least one search query, receiving another request for a web page associated with the inactive URL, selecting content based at least in part on the at least one search query, and providing a second web page comprising the content in response to the another request.