Context-Aware Local Search Suggestion Mechanism
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Solution Overview
Problem
Existing search technologies rely on keyword-based network search suggestions, which are not tailored to the user's current browsing content, leading to inefficient and complex search processes, as they do not consider the relevance of the content being viewed.
Innovation Solution
A method and apparatus for providing local search suggestions by acquiring page content information from the user's current page and determining matching suggestions, allowing for immediate presentation without the need for manual keyword input, enabling quick and relevant search results across various devices and scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If keyword-based network search suggestions are used, then search suggestions can be provided, but the search process becomes inefficient and complex as they do not consider the relevance of the content being viewed
Solution Approach 1:
The system pre-acquires page content information from the user's current browsing context before a search is initiated. By preparing and analyzing the page content in advance, the system can generate context-aware search suggestions immediately when triggered, without requiring manual keyword input from the user. This preliminary action reduces the search process complexity while maintaining high efficiency.
Solution Approach 2:
The patent introduces an intermediary mechanism that captures and processes page content information as a bridge between the user's browsing context and the search function. This intermediary layer extracts relevant information from the current page and uses it to generate contextual search suggestions, thereby connecting the content being viewed with the search functionality without requiring direct user intervention for keyword entry.
2Loss of time
If manual keyword input is required in the search box, then search suggestions can be acquired, but the procedure becomes complex and time-consuming
Solution Approach 1:
The system enables self-service by automatically extracting page content information and generating search suggestions without requiring manual keyword input from the user. The user simply needs to trigger the search function through predetermined operations, and the system autonomously processes the current page content to provide relevant search suggestions, significantly reducing both time and operational complexity.
Solution Approach 2:
The system performs preliminary extraction and analysis of page content information before the user initiates a search. By preparing the content information in advance, the system can immediately generate search suggestions when triggered, eliminating the need for manual keyword input and reducing the time required for the search process.
3Reliability
If search suggestions are generated without considering current page content, then the search process is simple, but the suggestions do not match the user's search requirements
Solution Approach 1:
The system applies local quality by focusing on the specific page content currently being viewed by the user rather than treating all search scenarios uniformly. It extracts and analyzes the particular content from the current page context to generate search suggestions that are locally relevant to what the user is reading or browsing, thereby improving suggestion relevance without requiring complex global analysis.
Solution Approach 2:
The patent introduces an intermediary mechanism that captures page content information as a bridge between the user's browsing context and the search function. This intermediary layer extracts relevant information from the current page and uses it to generate contextual search suggestions, thereby connecting the content being viewed with the search functionality to improve relevance.
Data Source
AI summary
A method for providing a local search suggestion. The method includes the steps as follows: acquiring, based on a current page presented in user equipment, page content information corresponding to page content currently browsed by a user; determining at least one local search suggestion matching the page content information; and presenting the at least one local search suggestion in the user equipment. According to the method of the present disclosure, at least one local search suggestion can be determined based on the page content currently browsed by the user, thus achieving a relatively high integrating degree between the local search suggestion and a user searching requirement, such that the user can quickly find a needed search suggestion, thereby shortening the time needed by the searching process.