Situational Signature Analysis for Anonymous User Profiling
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Solution Overview
Problem
E-commerce platforms face challenges in understanding and personalizing user experiences due to the anonymity of internet users, leading to incomplete customer profiling and limited information deduction from behavioral data.
Innovation Solution
A data processing method that identifies and analyzes user situations through a server-based system, using triggers and situational signatures to determine user states without relying on physical or logical models, enabling more comprehensive user profiling and personalized content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional marketing rules are applied based on user profiles, then personalization can be achieved, but user anonymity on the Internet prevents accurate customer identification
Solution Approach 1:
The patent introduces situational signatures as an intermediary representation that mediates between anonymous user data and personalized marketing needs. Instead of directly using personal information, the system creates situational signatures that capture user behavior patterns and contextual information, enabling personalization without requiring actual personal data about the user
Solution Approach 2:
The system transforms user data from personal identifiers to situational parameters. By changing the parameters from personal information (name, email, demographics) to situational parameters (behavioral patterns, context, interactions), the system achieves personalization while maintaining user anonymity
2Loss of information
If behavioral data collection is used to understand users, then some personalization is possible, but the understanding remains partial and information deduction is limited
Solution Approach 1:
The patent segments user understanding into distinct situational dimensions represented by situational signatures. Instead of treating user data as a single complex entity, the system divides it into multiple independent situational parameters that can be analyzed and processed separately, improving completeness of understanding while managing system complexity
Solution Approach 2:
The situational signature framework serves multiple functions simultaneously: it captures user behavior, contextualizes interactions, enables personalization, and maintains anonymity. This multi-functional approach reduces the need for separate processing systems for each function, managing complexity while improving user understanding
3Adaptability or versatility
If user profiles are created through data collection, then personalized approaches can be implemented, but users are reluctant to provide personal information
Solution Approach 1:
The system enables self-service personalization where users implicitly provide information through their natural interactions with the platform. Instead of requiring users to actively fill out profiles or provide personal information, the system automatically generates situational signatures from users' behavioral data and interaction patterns, making personalization effortless for users
Data Source
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AI summary
The present invention relates to a method for processing data by a server (1) including at least one data-processing unit and a data storage means, the method being characterized in that it includes the following steps, following the activation of at least one trigger implemented by the processing unit(s), said trigger(s) being capable of being activated in response to a predefined event: (a) an attempt by the processing unit(s) to determine a state of at least one index selected, on the basis of the activated trigger, from among a set of observable indices relating to personal data of a user and/or relating to general data; (b) the generation and storage, in the storage means, of a situational signature of the user in accordance with the results of said attempt to determine the state of at least one index; (c) the comparison of said situational signature of the user with a plurality of masks, each mask being associated with a reference situation and corresponding to a situational signature space, so as to identify the situation of said user as being the reference situation associated with at least one mask containing said situational signature; and (d) the analysis of said identified situation of the user by hardware or software situational analysis means of the server (1) so as to obtain processed data.