User Signature-Based Search System for Adaptive Content
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for searching and identifying information on the Internet fail to prioritize results based on both keyword conformity and user characteristics, including past user interactions, leading to inefficient search outcomes and irrelevant content presentation.
Innovation Solution
A method and system that index objects in databases and online environments using user signatures, which contain characteristics and usage data, to rank results based on user similarity, allowing for targeted advertisement placement and content generation aligned with future user characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search systems prioritize results based only on keyword conformity and frequency, then the search process is simple and fast, but the relevance to user interests and characteristics is poor
Solution Approach 1:
The system pre-calculates and stores user signatures containing characteristics and usage data before search operations. This preliminary action enables the search system to quickly compare user signatures with object signatures during searching, improving relevance without adding significant complexity to the search process itself
Solution Approach 2:
User signatures act as an intermediary between the user and the search results. Instead of directly analyzing user behavior during search, the system uses pre-computed user signatures as a mediator to match with object signatures, simplifying the matching process while improving relevance
2Measurement precision
If the system analyzes characteristics of multiple users and their usage patterns, then the content prioritization becomes more accurate, but the search time increases
Solution Approach 1:
User signatures containing characteristics and usage patterns are pre-calculated and stored before search operations. This allows the system to perform accurate content prioritization by comparing pre-computed signatures rather than analyzing raw usage data during the search, thus maintaining accuracy while reducing search time
Solution Approach 2:
The system creates simplified copies of user characteristics in the form of user signatures. These signature copies enable fast comparison and matching during search operations without requiring access to the full complexity of original user behavior data, reducing processing time while preserving prioritization accuracy
3Quantity of substance
If the system presents all found information without filtering, then completeness is maintained, but irrelevant information increases search time
Solution Approach 1:
The system applies different quality standards to different parts of the search results. Using signature matching between users and objects, it identifies and prioritizes locally relevant information for each user, presenting complete results but highlighting the most relevant portions first, thus maintaining completeness while reducing time to find relevant content
Data Source
AI summary
The invention consists of a set of methods and systems, which comprise a unified approach for an identification and/or searching for information and/or content in data bases and/or the Internet on the basis of direct or indirect characteristic features of the users of the information and the content which are being searched for and/or used as well as an automatic generation of electronic content conforming to the characteristics of its future users.