Auto-Complete Engine Using Secure User Data Intermediary
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Solution Overview
Problem
Conventional auto-complete search functions in web search engines rely on pre-determined algorithms that do not fully utilize available information, leading to less accurate and less efficient query completion.
Innovation Solution
An apparatus and method that uses a processor and machine-readable memory to complete user queries based on stored user information, accessible via a secure communications channel, allowing for more precise auto-complete predictions by leveraging user-specific data, including prior searches and personal information, even when this information is not directly accessible to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pre-determined algorithms are used for auto-complete, then the system is simple and fast, but the accuracy and relevance of query completion is limited
Solution Approach 1:
The system performs preliminary actions by collecting and storing user information, search history, and behavioral data in advance through secure communication channels. This pre-prepared information is then utilized by the auto-complete algorithm to provide more accurate predictions without adding significant complexity to the real-time query completion process.
Solution Approach 2:
A secure communication channel acts as an intermediary between the user device and the server, enabling the transmission of user information necessary for improved auto-complete accuracy. This intermediary mechanism allows the system to access additional data sources without directly complicating the core auto-complete functionality.
2Reliability
If user-specific information is accessed to improve auto-complete accuracy, then the relevance of search results improves, but the security requirements and system complexity increase
Solution Approach 1:
A secure communication channel serves as an intermediary that enables safe access to user-specific information. This intermediary layer implements security protocols and encryption, allowing the system to retrieve relevant user data for improved search result relevance while maintaining robust security without requiring complex security infrastructure at every system level.
Solution Approach 2:
The system leverages user-generated data such as search history and behavioral patterns that users have already provided through their normal interactions. This self-service approach allows the system to improve reliability by utilizing information that users have already volunteered, reducing the need for additional security infrastructure beyond what is already in place for normal user operations.
3Measurement precision
If more user information is stored and accessed, then the personalization and accuracy of auto-complete improves, but the data storage requirements and processing time increase
Solution Approach 1:
The system extracts only the most relevant and frequently used pieces of user information for auto-complete functionality, rather than storing and processing all possible user data. By selectively extracting key patterns from search history and behavioral data, the system achieves high personalization accuracy while minimizing data storage requirements.
Solution Approach 2:
The system uses a partial approach by leveraging a subset of available user information that provides the most value for auto-complete accuracy. Rather than utilizing all stored user data, the system selectively applies relevant patterns and trends, reducing processing overhead and storage requirements while maintaining high personalization accuracy.
Data Source
AI summary
An apparatus for automatic completion of an entry into an input field is provided. The apparatus may include a webpage. The webpage may include a search box. The search box may include a user input field. The apparatus may further include a processor and a machine-readable memory. When a user begins to type a query into the user input box, the processor may be configured to complete, pending user confirmation, the user's query. The completion may be based, for example, on information stored on the machine-readable memory pertaining to the user. The information may be available to an authorized accessor of the machine-readable memory via a secure communications channel. However, the information may be restricted from the user's access via a communications channel associated with the user.