Clickthrough Ranking System for Web Log Popularity
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Solution Overview
Problem
Users face difficulty in determining the popularity of Web log entries on consolidated sites due to the lack of relative click-through data, which can distort the perception of recent versus older entries, making it hard to identify truly popular content.
Innovation Solution
A system and method that categorizes and displays summary information from multiple Web sites, records click-throughs, and displays popularity relative to other entries within the same category and time frame, allowing users to view actual Web log entries and providing a rating system based on click-through data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of click throughs is displayed for each entry, then users can see how many times an entry has been clicked, but it becomes difficult to determine whether an entry is popular relative to other entries because the number is not displayed relative to other entries
Solution Approach 1:
The patent transforms the absolute click-through count into a relative popularity metric by comparing it against other entries in the same category. This parameter change converts raw numerical data into a meaningful comparative measure that directly addresses user needs for understanding entry popularity.
2Stability of the object's composition
If all entries are displayed in the same manner, then consistency in presentation is maintained, but it becomes difficult for users to determine which entries are the most popular
Solution Approach 1:
The patent applies local quality by differentiating the display treatment of entries based on their popularity metrics. Popular entries receive enhanced visual presentation (such as bold text, icons, or positioning) while maintaining the overall structured layout, allowing users to quickly identify popular content without completely redesigning the display format.
3Quantity of substance
If older entries are compared with recent entries using the same time frame, then all entries can be evaluated together, but recent entries appear less popular than they really are because older entries have had more time to accumulate click throughs
Solution Approach 1:
The patent segments the entry population by time frames (e.g., last 24 hours, last week, last month) and performs popularity comparisons within each segment separately. This segmentation prevents older entries with longer accumulation periods from unfairly dominating the popularity metrics, allowing recent entries to be evaluated on equal footing with other recent entries.
Data Source
AI summary
A system and method displays information from a consolidated set of Web log entries or other information. The system and method provides links to the actual information to allow users to view it by clicking the link, and records the number of times users have clicked the link to each entry or other information. The system and method counts the number of click throughs and provides a ranking of each entry it displays that indicates the number of click throughs relative to other entries, such as those in a same category or dealing with a same topic. The system and method displays the date and time of retrieval or storage of the entries by the system and method, adjusted to the user's local time.