Personalization Rules Construction for Privacy-Preserving Information Distribution
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Solution Overview
Problem
Existing information distribution systems face challenges in providing personalized distribution information to users who do not provide action information, and require accurate selection logic generation to ensure suitability, while protecting user privacy.
Innovation Solution
An information distribution system that includes an action information collection unit, personalization rules construction unit, and distribution information transmission unit to collect, construct, and transmit personalized rules and distribution information, allowing user devices to filter and present relevant information without exposing user action data to the server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users provide action information to receive personalized distribution information, then the accuracy and suitability of distribution information is improved, but user privacy is compromised
Solution Approach 1:
The patent introduces personalization rules as an intermediary mechanism that enables personalized distribution information without direct server access to user action information. The server constructs personalization rules based on aggregated action information patterns, then transmits these rules to user terminals. The terminals apply the rules locally to filter and select distribution information based on user's actual actions, thereby achieving personalization while keeping individual user data private.
Solution Approach 2:
The patent implements local processing of personalization at the user terminal rather than centralized processing at the server. The terminal device applies personalization rules locally to filter distribution information based on user-specific action information, ensuring that personalized processing occurs in a localized environment where privacy can be preserved while still achieving accurate personalization.
2Measurement precision
If the system collects and processes user action information on the server, then personalization accuracy is improved, but system complexity and data security requirements increase
Solution Approach 1:
The patent extracts the essential personalization logic from the server and transforms it into pre-constructed personalization rules. Instead of processing individual user action information on the server, the system extracts generalized selection criteria and patterns into rules that can be applied locally. This extraction reduces server complexity and data handling requirements while maintaining personalization capability at the terminal level.
Solution Approach 2:
The patent segments the personalization process into two distinct phases: (1) server-side rule construction phase where personalization rules are generated based on aggregated data patterns, and (2) terminal-side rule application phase where individual users apply these rules to their own action information. This segmentation separates complex data processing from simple rule application, reducing overall system complexity.
3Adaptability or versatility
If selection logics are constructed with high accuracy to present suitable distribution information to users without privacy information, then distribution information suitability is improved, but the complexity of logic construction and generation increases
Solution Approach 1:
The patent implements preliminary construction of personalization rules on the server side before they are transmitted to user terminals. The server performs the complex logic construction and validation work in advance, creating ready-to-use personalization rules that encapsulate selection criteria. This preliminary action eliminates the need for complex logic construction at the terminal level, reducing terminal device complexity while ensuring high suitability of distribution information.
Data Source
AI summary
An information distribution device includes: an action information collection unit that collects action information from an action information transmission device; a rules construction unit that, on the basis of a plurality of related pieces of action information constructs personalization rules including a selection condition and selection information; a rules transmission unit that transmits the personalization rules to an information reception device; and a distribution information transmission unit that transmits distribution information stored in a distribution information storage unit to the information reception device. The information reception device includes a filtering unit, which extracts, from the personalized rules received by a rules reception unit, personalization rules including a selection condition that matches the action information acquired by an action information unit, and which selects, from the distribution information received by a distribution information reception unit, the distribution information indicated by the selection information in the extracted personalized rules.