Personalized Browsing Activity Displays for Search Relevance
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Solution Overview
Problem
Users face challenges in locating relevant information on the web due to its vastness and the growing number of inexperienced web users, with search engines struggling to provide high-quality, relevant results based solely on search queries.
Innovation Solution
A method that records and analyzes user browsing activity to produce personalized browsing statistics, which are then used to adjust the ranking of search results and graphically displayed to the user, allowing for a more tailored browsing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If search engines rely solely on search queries to determine user interest, then the system remains simple and fast, but the relevance and quality of search results deteriorate
Solution Approach 1:
The system performs preliminary actions by recording and analyzing browsing activity before the user makes a search query. Browsing statistics are accumulated and stored in advance, allowing the search engine to use this pre-collected data to improve result relevance without adding complexity to the search query processing itself.
Solution Approach 2:
The system implements feedback by using recorded browsing activity to adjust and improve search result relevance. The browsing statistics serve as feedback about user interests, which is then fed back into the search ranking algorithm to enhance the quality of results returned to the user.
2Quantity of substance
If the web contains more information and more users, then the web becomes more valuable, but it becomes more difficult to locate desired information
Solution Approach 1:
The system enables self-service by automatically recording and analyzing browsing activity without requiring users to manually provide interest indicators. The system serves itself by autonomously collecting browsing data and using it to personalize search results, making information location easier as the system adapts to user needs automatically.
3Reliability
If browsing activity is recorded and analyzed to produce personalized statistics, then search result relevance improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of browsing activity in advance, accumulating and pre-processing browsing statistics before actual search queries are made. This preliminary action reduces the computational burden during search query processing, as the heavy lifting of data analysis is completed beforehand.
Data Source
AI summary
A system records browsing activity of a user using a browser. The system determines browsing statistics from the recorded browsing activity and graphically displays the browsing statistics to the user via the browser.