User Preference Tag Clouds for Profile Comparison
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Solution Overview
Problem
Traditional systems for recommending media content to users lack effective methods for displaying and receiving user preference information, relying mainly on behavioral monitoring and manual input, which are not always efficient or user-friendly.
Innovation Solution
The use of user preference tag clouds that visually represent media preferences, allowing users to compare and copy preferences between profiles, with attributes weighted by importance and displayed in a compelling and intuitive manner, enabling efficient updating and modification of user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional systems use behavioral monitoring to gather preference information, then user preference data can be collected automatically, but the method is not user-friendly and lacks direct user input
Solution Approach 1:
The patent allows users to copy preference attributes between different user profiles by interacting with the visual tag cloud interface. Users can select and transfer attributes from one profile to another, enabling manual preference setting without requiring complex questionnaires or lengthy behavioral monitoring periods.
Solution Approach 2:
The patent uses visual representations where attributes are displayed with varying visual characteristics (such as color, size, or highlighting) to indicate their importance, type, or status. This visual encoding makes preference information more easily perceivable and interactable, improving user-friendly operation while maintaining automated data collection capabilities.
2Productivity
If systems allow manual preference specification through questionnaires, then direct user input is obtained, but the process is time-consuming and inefficient
Solution Approach 1:
The patent pre-processes and organizes preference attributes into a visual tag cloud structure before user interaction. Attributes are pre-categorized, pre-weighted, and pre-arranged visually, so users can directly interact with organized information rather than navigating through unstructured questionnaires, significantly reducing the time required for preference specification.
Solution Approach 2:
Users can copy existing preference attributes from one profile to another, allowing rapid preference setup without re-entering all preferences manually. This copying mechanism dramatically increases productivity by enabling users to leverage existing profiles as templates.
3Ease of operation
If user preference information is displayed in traditional formats, then information is presented, but it lacks visual appeal and intuitive comparison capability
Solution Approach 1:
The patent transforms traditional tabular or list-based preference representations into a two-dimensional visual tag cloud format. Attributes are arranged spatially with their importance or weight represented by visual properties such as font size, color intensity, or positioning, adding a visual dimension that makes comparison more intuitive and engaging.
Solution Approach 2:
The patent employs color coding and visual styling to represent different aspects of preference attributes, such as using color to indicate attribute type, importance level, or profile association. This visual encoding enhances the intuitive comparison capability while maintaining comprehensive information representation.
4Measurement precision
If media content attributes are displayed with uniform formatting, then all attributes are treated equally, but important attributes cannot be visually distinguished
Solution Approach 1:
The patent applies different visual qualities to different attributes within the tag cloud based on their importance weighting. More important attributes are displayed with larger font sizes, bolder weights, or distinct colors, while less important attributes have subdued visual characteristics. This local differentiation enables precise measurement of attribute importance while keeping the overall system simple.
Solution Approach 2:
The patent varies visual parameters such as font size, color intensity, or styling based on the weight or importance assigned to each attribute. By changing these parameters dynamically based on attribute properties, the system achieves precise importance weighting without requiring complex user interaction or overly complicated interface design.
Data Source
AI summary
Systems and methods for sharing user profile information using tag clouds are provided in accordance with various embodiments of the present invention. A first tag cloud may be generated from attributes stored in a first user profile and a second tag cloud may be generated from attributes stored in a second user profile. A user may drag-and-drop attributes between the two tag clouds and, in response, the underlying user profiles may be updated. Tag clouds may thus present a user's media preferences in an attractive and compelling visual arrangement that, in some embodiments, also functions as an intuitive interface for copying preferences between user profiles.