User Interest Category Acquisition via Browse Record Analysis
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Solution Overview
Problem
Existing methods for acquiring information categories of user interest, primarily relying on search engines and keyword matching, face low accuracy due to low search engine usage frequency and limited keyword entries, resulting in inadequate recommendations.
Innovation Solution
A method and apparatus that acquire information categories by analyzing user browse records, extracting feature words from browsed web pages, and calculating matching degrees with predefined categories, determining interestingness based on page quantities, and selecting categories that meet preset conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If search engine keyword matching is used to acquire information categories, then the method is simple to implement, but the accuracy of identifying user-interest categories is low
Solution Approach 1:
The patent introduces browse records as an intermediary data source between user behavior and information category identification. Instead of directly using search keywords, the system uses browse records (web pages visited, time spent, frequency) as a mediator to infer user interests, thereby improving accuracy while maintaining implementation feasibility through existing web analytics infrastructure.
Solution Approach 2:
The patent replaces the mechanical keyword-matching system with a data-driven analysis system that processes browse record information. Instead of relying on users actively entering search keywords, the system passively collects and analyzes browse behavior data, substituting active user input with passive behavioral observation to improve identification accuracy.
2Measurement precision
If browse records are analyzed to improve accuracy of user-interest category identification, then the accuracy is improved, but the complexity of the system increases
Solution Approach 1:
The patent performs preliminary actions by pre-collecting and organizing browse record data before the actual category identification process. Web page servers pre-process browsing information and store it in structured formats, so that when category identification is needed, the data is already prepared and organized, reducing the complexity of real-time analysis.
Solution Approach 2:
The system implements self-service by automatically collecting, processing, and analyzing browse record data without requiring manual intervention. The web page servers themselves generate and maintain the browse record data, and the analysis system automatically processes this data to identify user interests, eliminating the need for complex manual data collection and processing procedures.
Data Source
AI summary
The present disclosure discloses an information category acquiring method and apparatus. The method includes: acquiring a browse record about a user browsing a Web page, the browse record including at least a Web page identifier of the Web page that the user browses; acquiring interestingness of the user for information categories according to the browse record; and acquiring an information category for which interestingness meets a first preset condition, and using the acquired information category as an information category in which the user is interested.