Multimedia Content Analysis for User Interest Profiling
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Solution Overview
Problem
Existing methods for profiling user preferences are inaccurate due to users providing incomplete information due to privacy concerns, and passive tracking methods only reveal limited information.
Innovation Solution
A system that analyzes user interactions with multimedia content to generate signatures, determining user interests based on these signatures, and creating profiles that are stored in a data warehouse, allowing for accurate user preference identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users are asked to actively provide their interests, then user preference information can be obtained, but the information is inaccurate and incomplete due to privacy concerns
Solution Approach 1:
The patent introduces multimedia content analysis as an intermediary mechanism between the user and the profiling system. Instead of directly asking users for their preferences, the system analyzes their interactions with multimedia content (views, clicks, shares) to infer interests indirectly, thereby reducing privacy concerns while obtaining accurate preference data
Solution Approach 2:
The patent replaces the mechanical approach of directly collecting user self-reported preferences with an automated content analysis system that uses algorithms to extract interest information from user behavior patterns in multimedia content consumption
2Quantity of substance
If passive tracking of user activity is implemented, then user information can be collected, but only limited information is revealed due to privacy concerns
Solution Approach 1:
The patent segments user information collection into multiple dimensions by analyzing different types of multimedia content interactions (video views, image clicks, audio plays, shares) and extracting various interest categories from each, thereby obtaining comprehensive user profiles from passive tracking data
Solution Approach 2:
The patent adds a new dimension to passive tracking by incorporating multimedia content analysis, transforming traditional single-dimensional activity tracking into multi-dimensional interest profiling through content category, engagement duration, and interaction type analysis
3Ease of operation
If traditional user input methods are used, then user preferences can be captured, but the profiles generated are inaccurate
Solution Approach 1:
The patent implements self-service by allowing users to implicitly provide preference information through their natural multimedia content consumption behavior without needing to manually fill out surveys or profiles, making the system both easy to operate and accurate
Data Source
AI summary
A method and system for profiling interests of users based on multimedia content analysis and creating users' profiles respective thereof is provided. The method comprises receiving a tracking information gathered with respect to an interaction of a user with at least one multimedia element displayed on a user node; determining a user impression respective of at least one multimedia content element using the received tracking information; generating at least one signature for the at least one multimedia element; determining at least a concept of the at least one multimedia element using the at least one generated signature, wherein an interest of the user is determined respective of the concept; creating a user profile to include at least the user interest; and storing the user profile in a data warehouse.