Domain Placement Service Using Bid and Quality Score
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Solution Overview
Problem
Current systems do not provide optimal means for determining and enabling preferred domain positioning on domain registration websites, as TLD registries need to compete for registrars' attention and placement, lacking effective methods to assess and prioritize domain listings.
Innovation Solution
A method and tool that receive bids from registries, generate quality scores for domains, and determine preferred placements based on these bids and scores, displaying domains in optimal positions on registration websites to attract user attention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If domains are listed in random or default order on registration websites, then the system is simple to operate, but TLD registries cannot effectively compete for registrars' attention and user visibility is suboptimal
Solution Approach 1:
The system changes the parameter of domain placement from random/default ordering to bid-based ordering. Registries submit bids that determine the position of their domains in search results and listings, transforming a static ordering system into a dynamic one where placement is determined by competitive bidding parameters.
Solution Approach 2:
The domain listing system transitions from a static default order to a dynamic competitive placement system. The placement of domains changes based on registry bids, allowing the system to adapt to competitive conditions and registrar preferences while maintaining operational simplicity through automated bid processing.
2Productivity
If preferred placement is determined solely by bid amount, then competition among registries is enhanced, but domain quality and user experience may be compromised
Solution Approach 1:
The placement determination system combines multiple factors (bid amount, domain quality metrics, registrar feedback) into a composite scoring mechanism. This composite approach ensures that high bids alone do not guarantee preferred placement, maintaining domain quality standards while preserving competitive effectiveness among registries.
Solution Approach 2:
The system incorporates feedback loops where registrar preferences and user behavior data influence placement decisions alongside bid amounts. This feedback mechanism ensures that domains earning bids also meet quality standards and actual user demand, preventing purely financial manipulation of placement.
3Measurement precision
If complex quality scoring systems are implemented to assess domains, then placement accuracy improves, but system complexity and computational requirements increase
Solution Approach 1:
The quality scoring system is segmented into discrete, independently calculable metrics (domain age, registration status, user engagement data, registrar ratings). Each metric can be computed separately and then aggregated, simplifying the overall system architecture while maintaining comprehensive assessment accuracy.
Data Source
AI summary
The present inventions may be implemented by tools enabling preferred domain positioning on a registration website. An example may comprise a computer-readable media storing instructions that, when executed by a server, cause the server to receive a request (comprising a bid and the domain) seeking such preferred placement, generate a quality score for the domain, determine the preferred placement based upon the bid and the quality score, and transmit a response (comprising the preferred placement) to the request.