Keyword Popularity Period Detection Using Cycle Thresholds
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Solution Overview
Problem
Existing techniques fail to accurately identify the period of popularity for keywords that appear periodically, such as daily, weekly, or yearly, limiting the ability to forecast future popularity.
Innovation Solution
An information processing apparatus that determines a threshold value based on keyword usage in each unit period within a cycle, identifies candidate periods for popularity, excludes periods with unusual usage patterns, and determines the actual popularity period using dynamic programming and linear function calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a technique detects keyword popularity from a local viewpoint (change from one counting period to another), then it can determine when a keyword becomes popular, but it cannot identify the complete popularity period within a cycle from a broader viewpoint
Solution Approach 1:
The patent transitions from a local one-period comparison viewpoint to a global cycle-period viewpoint by analyzing keyword usage across multiple unit periods within a complete cycle. This dimensional shift enables identification of the entire popularity period rather than just detecting when popularity starts.
Solution Approach 2:
The patent divides a cycle period into multiple unit periods and analyzes keyword usage in each segment. By segmenting the cycle period and comparing usage patterns across segments, the system can identify the complete popularity period within the cycle.
2Productivity
If a threshold value is set to identify candidate popularity periods, then periods with high keyword usage can be detected, but periods with temporary or artificial usage increases cannot be distinguished from genuine popularity periods
Solution Approach 1:
The patent uses feedback by comparing the situation in candidate popularity periods with the overall periodic popularity pattern of the keyword. This feedback mechanism allows the system to distinguish genuine popularity periods from those with temporary or artificial usage increases by checking consistency with the established periodic pattern.
Solution Approach 2:
The patent applies preliminary anti-action by excluding candidate periods that do not conform to the periodic popularity pattern before final determination. This pre-filtering prevents temporary or artificial usage spikes from being incorrectly identified as genuine popularity periods.
3Measurement precision
If keyword usage data is analyzed for each unit period within a cycle, then the complete popularity period can be identified, but the computational complexity increases
Solution Approach 1:
The patent performs preliminary action by first determining a threshold value based on historical keyword usage data before analyzing each unit period. This pre-established threshold simplifies the subsequent analysis by providing a clear criterion for identifying candidate popularity periods, reducing computational complexity.
Solution Approach 2:
The patent changes parameters by using the threshold value as a dynamic criterion that adapts to the specific keyword's usage patterns. This parameter-based approach allows efficient filtering of unit periods while maintaining high accuracy in identifying genuine popularity periods.
Data Source
AI summary
An information processing apparatus determines a threshold value of the number of times of use of a keyword on the basis of the number of times of use of the keyword in each unit period included in a cycle period. Next, the information processing apparatus identifies a period in which the numbers of times of use exceeds the threshold value in the cycle period as a candidate of a popularity period of the keyword. Next, the information processing apparatus excludes the identified period from the popularity period if a situation in which the numbers of times of use in the identified period exceed the threshold value is different from a situation based on a periodic popularity of the keyword. When the identified candidate period is not excluded from the popularity period, the information processing apparatus determines the identified period to be the popularity period.