Domain Positioning via Bid and Quality Score
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Solution Overview
Problem
Existing 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.
Innovation Solution
A method and tool that receive bids from registries, generate quality scores for domains, and determine preferred placement based on these bids and scores, displaying domains in optimal positions on registration websites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If domains are displayed in random or default positions on registration websites, then the system is simple to operate, but TLD registries cannot effectively compete for registrars' attention
Solution Approach 1:
The system performs preliminary actions by receiving bids from TLD registries and generating quality scores for domains before the actual domain registration process. This advance preparation enables competitive positioning without adding complexity during the registration operation, as the preferred position is predetermined based on bid and quality score calculations.
Solution Approach 2:
The system changes parameters by introducing bid amounts and quality scores as new variables that determine domain positioning. Instead of using fixed or random positions, the system dynamically adjusts domain placement based on these parameters, allowing TLD registries to compete effectively while maintaining system manageability through automated calculations.
2Adaptability or versatility
If preferred domain positioning is determined solely by bid amount, then competition among TLD registries is enhanced, but domain quality cannot be ensured
Solution Approach 1:
The system merges two separate evaluation criteria: bid amount from TLD registries and quality score of domains. By combining these factors to determine preferred positioning, the system ensures that both competitive bidding and domain quality are considered, preventing situations where high bids alone determine placement without regard for domain quality.
Solution Approach 2:
The system implements feedback by generating quality scores that reflect domain attributes and using this information to adjust positioning decisions. The quality score acts as a feedback mechanism that ensures domains meeting certain quality thresholds can achieve preferred positioning, creating a balanced system where both competition and quality are maintained.
3Measurement precision
If complex algorithms are used to determine domain positioning, then optimal placement is achieved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary calculations by pre-generating quality scores for domains and receiving bids from TLD registries before the registration process. This advance computation allows the system to make quick positioning decisions during actual registration without requiring complex real-time calculations, thus maintaining positioning accuracy while reducing processing time.
Solution Approach 2:
The system applies partial action by focusing computational resources on generating quality scores and determining preferred positions for domains that are likely to be registered. Instead of continuously analyzing all possible domains, the system concentrates efforts on relevant candidates, achieving accurate positioning without excessive processing overhead.
Data Source
AI summary
Methods of the present inventions allow for determining preferred domain positioning on a registration website. An exemplary method may comprise the steps of receiving a bid from a registry seeking such preferred placement for a domain that may be administered by the registry, generating a quality score for the domain, and determining the preferred placement based upon the bid and the quality score.