User Interest Profile Update System Using Decay and Thresholds
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Solution Overview
Problem
Existing methods for generating user interest profiles rely on implicit data from search and browsing histories, failing to accurately capture explicit user interests and often use unclear taxonomies for classification.
Innovation Solution
A computer-implemented system that generates interest profiles by mapping user-generated items from online profiles to interest categories, using similarity scoring and decay adjustments to reflect changing user interests, with a focus on explicit user-defined preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If user interest profiles are generated using implicit data from search and browsing histories, then the system can automatically create profiles without user input, but the accuracy in capturing explicit user interests deteriorates
Solution Approach 1:
The patent combines both implicit data (search histories, browsing behaviors) and explicit data (user-defined interests, profile information) to create a comprehensive interest profile. This merging allows the system to maintain automatic generation capabilities while significantly improving accuracy by incorporating directly expressed user preferences.
Solution Approach 2:
The interest profile is segmented into multiple dimensions: implicit interests derived from behavioral data and explicit interests from user-defined data. This segmentation allows the system to process and weight different data sources separately, giving appropriate importance to explicit user declarations while still utilizing implicit behavioral patterns.
2Stability of the object's composition
If traditional taxonomy-based classification is used for organizing user interests, then the system can structure interest profiles systematically, but the clarity and explicitness of interest categories deteriorates
Solution Approach 1:
The patent introduces user-defined interest tags and explicit preference declarations as intermediary elements between the user and the taxonomy system. These intermediaries allow users to express their interests in their own words while the system maps these expressions to structured categories, preserving both structure and clarity.
Solution Approach 2:
The system changes the parameter of category labeling from fixed taxonomy terms to flexible user-defined tags. This allows the same structured organization to be maintained while the actual category names and definitions reflect the user's explicit understanding and terminology.
3Stability of the object's composition
If static interest profiles are used, then the system can maintain consistent user representations, but the ability to reflect changing user interests deteriorates
Solution Approach 1:
The patent implements dynamic interest profiles that automatically update based on new user interactions, explicit interest declarations, and temporal decay of previous data. The profile transitions from a static snapshot to a living representation that evolves with user behavior while maintaining structural consistency through the underlying taxonomy framework.
Solution Approach 2:
The system applies periodic updates to the interest profile based on time decay factors, where older interest data gradually loses weight over time. This periodic reweighting ensures the profile remains current with recent user interests while preserving historical patterns, achieving both consistency and adaptability.
Data Source
AI summary
A computer-implemented system and method for updating user interest profiles is provided. An interest profile having a mapping of interest categories and interest scores for each interest category is obtained. User generated items are identified from online profiles and a portion of the user generated items are associated with a time stamp. A similarity mapping is performed by comparing each user generated item with each interest category. An interest index score is determined for each interest category based on one of the user generated items compared. A threshold is applied to the interest index scores for each category. The interest score associated with one such category in the mapping is replaced with the interest index score, when the interest index score for that category is above the threshold. The interest profile is adjusted by applying a decay to those interest index scores associated with time stamps determined for the categories.