Implicit User Interaction Tracking for Search Personalization
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Solution Overview
Problem
Conventional search systems fail to provide optimal search results aligned with user interests due to limitations in query expression and lack of information about user preferences, leading to tedious and time-consuming processes for users to find relevant information.
Innovation Solution
The system tracks and analyzes users' implicit responses, such as timing, speed, tone, and movement, to create a user profile that qualifies explicit responses, thereby adjusting search results to better match individual preferences and interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search systems present search results based on predicted relevance, then search results are ordered by algorithmic relevance, but the results may not be ordered according to the user's actual interests
Solution Approach 1:
The system implements feedback by tracking user interactions with search results (clicks, scrolls, time spent) and using this feedback to dynamically adjust and re-rank search results. This allows the system to learn from user behavior and improve ranking accuracy over time, resolving the contradiction between algorithmic relevance and user actual interests.
Solution Approach 2:
The system enables self-service by automatically analyzing user interaction patterns and adjusting search results without requiring explicit user input or manual re-ranking. The system serves itself by using its own collected data to improve its performance, reducing user effort while maintaining high relevance.
2Adaptability or versatility
If users review multiple links to find matching items, then users can assess multiple items, but the process becomes tedious and time-consuming
Solution Approach 1:
The system performs preliminary action by pre-analyzing and ranking search results based on user interaction patterns before the user needs to make decisions. By proactively organizing and prioritizing results based on learned preferences, the system reduces the time users need to spend reviewing multiple links while maintaining the ability to assess multiple items.
Solution Approach 2:
The system changes parameters by dynamically adjusting search result rankings based on tracked user interaction parameters (click-through rates, time spent, scroll depth). This parameter-based re-ranking allows the system to adaptively prioritize items that match user interests, reducing review time while preserving comprehensive assessment capability.
3Measurement precision
If the system tracks multiple parameters of user interaction, then the understanding of user preferences improves, but the system complexity increases
Solution Approach 1:
The system applies universality by using a multi-functional tracking mechanism that simultaneously captures multiple interaction parameters (clicks, scrolls, hover time, keyboard navigation) through a unified tracking system. This single system performs multiple functions: data collection, pattern recognition, and preference modeling, improving measurement precision without proportionally increasing complexity.
Data Source
AI summary
Disclosed embodiments enable improved perception of a user's response and/or preferences. Search results responsive to a query are presented to the user. Parameters associated with an implicit user response are tracked. The implicit response may consist of a delay from the presentation of the user response; a speed of, a volume of, a tone of, or a word used in a user response; a speed, a direction, and/or a consistency of a pointer movement; a location of a touch; a change in a touch; and/or a user movement captured by a camera. Measurements and other information derived from the tracked parameters may be stored in a user profile, which may later be used to calculate a personalized implicit response. An implicit response may be calculated from the parameters. The implicit response may be used to qualify an explicit response, which may be the impetus to modify search results.