Text Recommendation Indexing for Webpage Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for recommending text information on webpages are inefficient due to the growing time required for similarity calculations, leading to information overload and reduced effectiveness in timely recommendations, and lack appropriate information dimensions, which hinders the delivery of critical information to users.
Innovation Solution
A method, server, and browser system that obtain a keyword from a text index pool in response to a webpage visit, retrieve a recommended text information list from a keyword index pool, and embed this list into the webpage, allowing users to click on keywords for quick access to relevant information, thereby reducing information overload and enhancing recommendation efficiency and effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If similarity calculation is used to generate recommended text, then recommendation accuracy is improved, but calculation time increases with text accumulation
Solution Approach 1:
The patent pre-calculates and stores text similarity relationships in an index structure before they are needed. When a user requests recommendations, the system retrieves pre-computed similarity scores from the index rather than calculating them in real-time, thus maintaining high recommendation accuracy while avoiding time-consuming calculations during actual use.
Solution Approach 2:
The patent creates an index copy of the text database that stores pre-computed similarity relationships. This index structure replicates the essential similarity information in a condensed format that enables rapid retrieval without requiring access to the full original text database, thereby reducing calculation time while preserving recommendation quality.
2Loss of information
If comprehensive text analysis is performed to improve recommendation quality, then information completeness is improved, but system complexity increases
Solution Approach 1:
The patent divides the text processing system into distinct modules: text indexing module, similarity calculation module, and recommendation generation module. Each module handles a specific aspect of the processing pipeline, allowing for independent optimization and maintenance while collectively achieving comprehensive text analysis and complete information delivery.
Data Source
AI summary
A method for recommending text information, a server, a browser, and a system thereof are provided. The method includes: a keyword is obtained by a server from a text index pool in response to a visiting request for a webpage from a browser; a recommended text information list is obtained from the text index pool according to the corresponding keyword; the recommended text information list is embedded into the webpage and the webpage is returned to the browser for displaying to a user; and the user may click the keyword to obtain the recommended text information list as required, thereby the keyword is set as the connection between the user and the webpage text information.