Web Site Grouping by Feature and User Conditions
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Solution Overview
Problem
Existing analysis technologies fail to effectively determine web site groups associated with users of interest that share commonalities based on feature amounts and user interactions, limiting the ability to analyze common interests and future trends among users.
Innovation Solution
An information processing system and method that determines web site groups by associating web sites based on conditions related to feature amounts and user interactions, including user and web site determination units that calculate and apply scoring systems to identify relevant web sites and users of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If web site groups are determined based on multiple conditions (feature amounts and user interactions), then the precision of identifying commonalities among users of interest is improved, but the complexity of the analysis system increases
Solution Approach 1:
The patent segments the web site analysis process into distinct functional units: a web site determination unit that identifies individual web sites based on feature amounts, and a web site association unit that groups these web sites based on user interaction conditions. This segmentation allows the system to handle complex multi-condition analysis through modular, manageable components, resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The patent introduces a new dimension of analysis by combining both feature amount conditions (intrinsic web site properties) and user interaction conditions (extrinsic behavioral data) to determine web site groups. This multi-dimensional approach enables more precise identification of commonalities among users of interest while maintaining system organization through structured conditional logic.
2Reliability
If multiple conditions are applied to determine web site groups, then the reliability of analysis results is improved, but the time required for processing increases
Solution Approach 1:
The patent applies preliminary action by having the web site determination unit first identify candidate web sites based on feature amount conditions before the web site association unit applies user interaction conditions for grouping. This preliminary filtering reduces the data volume that requires complex multi-condition processing, thereby maintaining reliability while reducing overall processing time.
Solution Approach 2:
The patent implements dynamic processing where the web site association unit adaptively groups web sites based on varying user interaction conditions. The system dynamically adjusts which web sites are associated based on real-time analysis of user behavior patterns, enabling reliable results without requiring exhaustive processing of all possible condition combinations.
Data Source
AI summary
A web site determination unit determines web sites associated with any one of a plurality of users of interest. A web site association unit associates, among the determined web sites, a plurality of the web sites with each other, each of the plurality of the web sites satisfying at least one of a condition on a feature amount of the each of the plurality of the web sites and a condition on at least one of the users of interest associated with the each of the plurality of the web sites. Accordingly, web site groups possibly having a commonality may be determined among web site groups associated with users of interest.