Personalized Search Sourcing via User Activity Tracking
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Solution Overview
Problem
Current search engines fail to effectively personalize search results based on user behavior and preferences, relying on general document corpus filtering that does not account for individual user preferences, leading to a need for advanced search result personalization.
Innovation Solution
A system and method that tracks user network activities to identify preferred content sources, filters search results based on these sources, and displays them as pivot points on the search results page, allowing users to refine their searches within preferred content domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If back-end processing filters search results based on profile characteristics, then search results are processed and delivered to users, but the filtering is dictated by back-end algorithms rather than actual user preferences
Solution Approach 1:
The system tracks user network activities and uses this feedback to dynamically identify preferred content sources, creating a closed-loop system where user behavior directly influences search result filtering. This resolves the contradiction by making the automated filtering system adaptive to actual user preferences through continuous monitoring and adjustment.
Solution Approach 2:
The system performs preliminary tracking of user network activities before the search query is submitted, pre-identifying preferred content sources based on historical behavior. This allows the filtering to be personalized and user-preference-driven rather than relying solely on generic back-end algorithms at query time.
2Productivity
If general document corpus filtering is used, then search operations can be performed efficiently, but results do not account for individual user preferences
Solution Approach 1:
The system segments the general document corpus into user-specific result sets by applying filters based on identified preferred content sources. This segmentation allows efficient processing of large corpora while delivering personalized results, as the filtering logic is applied systematically rather than requiring manual customization for each user.
Solution Approach 2:
The system applies different filtering qualities to different users by identifying their preferred content sources and tailoring the search result filtering accordingly. Each user receives search results filtered according to their specific preferences while maintaining the overall efficiency of the search operation.
3Loss of time
If search results are returned quickly, then user time is saved, but the results lack personalization and relevance to user preferences
Solution Approach 1:
The system performs preliminary tracking and analysis of user network activities before the search is executed, pre-identifying preferred content sources. This preliminary action enables the system to quickly filter and return personalized results without adding significant time to the search process, as the preference analysis is already complete.
Solution Approach 2:
The system automatically tracks and analyzes user behavior patterns without requiring explicit user input or configuration. This self-service approach allows the system to maintain personalization capabilities while keeping the search process fast and seamless for the user.
Data Source
AI summary
The present invention provides a method and system for customized search results in an advanced search results page including vertical searching pivot points for personalizing and refining searching operations. The method includes tracking user network activities and receiving a search query from the user, the search query including a plurality of search terms. The method and system includes identifying a plurality of preferred content sources based on the tracked network activities and retrieving content items in response to the search query. The method and system filters the content items based on the preferred content sources and therein generates a search result page displaying at least a portion of the filtered content items and at least one of the preferred content sources, wherein the display of the at least one preferred content source allows the user to pivot the search results portion based solely on the preferred content source.