Search Results Modulator for Personalized Display
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional search engines fail to effectively incorporate user interaction data and preferences into the display of search results, leading to repetitive searches and inefficient information retrieval.
Innovation Solution
A search results modulator system that interfaces with a browser framework to filter, enhance, and modify search results based on user interactions, interests, and preferences, including the use of a search assistant module that captures, processes, and stores user feedback to personalize search result presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional search engines display search results without incorporating user interaction data, then the search result display remains simple and fast, but user productivity decreases due to repetitive searches and inability to leverage prior interactions
Solution Approach 1:
The patent introduces a search results modulator as an intermediary component that sits between the search engine and the user interface. This modulator captures user interaction data, processes it through a search assistant module, and modifies search results before presentation to the user. The intermediary architecture enables enhanced functionality without requiring fundamental changes to the core search engine or user browser, thus improving productivity while managing complexity through modular design.
Solution Approach 2:
The system implements feedback mechanisms by capturing user interactions with search results (such as viewing, clicking, or time spent on results) and using this feedback to personalize subsequent search results. The search assistant module processes this feedback data and adjusts the presentation of search results accordingly, creating a adaptive system that learns from user behavior to improve productivity over time.
2Measurement precision
If search engines do not incorporate user information into search results, then the system remains simple and easy to operate, but search result relevance decreases and users must repeat searches
Solution Approach 1:
The search results modulator operates autonomously by automatically capturing, processing, and utilizing user interaction data without requiring explicit user input or configuration. The system self-adjusts search result presentation based on observed user behavior patterns, maintaining ease of operation while significantly improving search result relevance through intelligent automation.
Solution Approach 2:
The system performs preliminary actions by pre-processing user interaction data and preparing personalized search result modifications before the user actually performs a search. The search assistant module analyzes past interactions and pre-configures result presentation strategies, so when a search occurs, the relevant information is already optimized and ready for immediate presentation, improving relevance without adding operational steps for the user.
3Loss of time
If search engines fail to remember user preferences and interactions, then the system remains simple and fast, but time is wasted due to repetitive research efforts
Solution Approach 1:
The patent extracts user interaction data from the broader web browsing environment and concentrates it within the search results modulator. By taking out and isolating this information processing function, the system can efficiently capture and process user preferences without requiring complex integration across the entire browsing system. This extracted module handles all user information processing centrally, reducing overall system complexity while eliminating time-wasting repetitive searches.
Data Source
AI summary
When a user conducts a search for content using one or more of the many search engines known in the art, embodiments of the present invention may receive results returned to the user's browser by the search engine, and may then proceed to filter, organize, modify, or enhance those results and/or their presentation by performing various editing and/or presentation operations on the search results, based on information relating to the user's prior interactions with the search results and the user's interests and preferences. Search results may also be modulated based on information about the way other users have responded to or interacted with each of the search results in the past.