Intelligent Bookmark Categorization via URL Keyword Analysis
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Solution Overview
Problem
Existing browser technologies require manual categorization of bookmarks, which is time-consuming and affects user experience due to the lack of automatic categorization capabilities.
Innovation Solution
A method and server for intelligent bookmark categorization that acquires a bookmark link address, performs matching or similarity comparison using a link library and keyword analysis to automatically categorize bookmarks, and returns the categorization result to the client, thereby reducing manual organization time and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual categorization is used, then users can control the categorization process, but time consumption increases and user experience deteriorates
Solution Approach 1:
The system enables bookmarks to categorize themselves automatically through server-side processing. The server extracts keywords from bookmark URLs, performs similarity comparisons with predefined categories, and assigns categories without requiring user intervention, thus resolving the contradiction between automation and time consumption
Solution Approach 2:
The system pre-establishes a category library with predefined categories and keywords before the categorization process. This preliminary preparation enables rapid automatic categorization when bookmarks are added, eliminating the need for manual categorization and reducing time consumption
2Ease of operation
If manual categorization is used, then categorization accuracy can be maintained, but operation complexity increases
Solution Approach 1:
The patent replaces the mechanical manual operation of categorization with an automated server-based system. The server automatically extracts keywords from URLs, performs similarity comparisons, and assigns categories programmatically, substituting manual user actions with automated computational processes that improve ease of operation
Solution Approach 2:
The patent introduces a server as an intermediary between the user and the bookmark categorization process. The server handles the complex tasks of keyword extraction, similarity comparison, and category assignment, shielding the user from system complexity while maintaining ease of operation
Data Source
AI summary
The present invention, relating to the field of computer technologies, provides a method and server for intelligent categorization of bookmarks. The method includes: acquiring a bookmark link address requested for categorization by a client; categorizing the bookmark link address requested for categorization; and returning a categorization result as a bookmark category to the client. The server includes: an acquiring module, a categorizing module, and a returning module. According to the present invention, by acquiring a bookmark link address requested for categorization by a client, categorizing the bookmark link address requested for categorization, and returning a categorization result as a bookmark category to the client, the objective of intelligent categorization of the bookmarks is achieved so that time consumption caused by users' manual organization and categorization of the bookmarks is avoided. In addition, a better user experience on the browser is brought to users.