Mobile Service Preference Initialization via Probability Values

Solution Overview

Problem

Users of simple mobile devices with limited features face difficulties in specifying preferences for mobile phone services due to restricted input capabilities, making it costly and time-consuming.

Innovation Solution

A method and system that initializes user preferences based on parameter-associated probability values, allowing users to receive data services by predicting preferred settings from other users' selections, enabling dynamic adjustment of service parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users manually specify preferences for mobile phone services, then service customization is improved, but user input complexity and time cost increase

Engineering Contradiction:

Improveservice customizationVSAvoiduser input time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system pre-initializes user preferences with default values before the user actually needs to use the service. By proactively setting preferences based on service parameters and observed user behavior patterns, the system eliminates the need for users to manually specify every preference, thus reducing input time while maintaining customization capability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system automatically adjusts and optimizes user preferences without requiring continuous user input. By monitoring user interactions and service usage patterns, the system self-adjusts preferences to match user needs, making the customization process autonomous and eliminating time-consuming manual specification.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If users manually specify preferences for mobile phone services, then service customization is improved, but operational complexity increases

Engineering Contradiction:

Improveservice customizationVSAvoiduser input complexity

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system pre-initializes user preferences with default values before the user actually needs to use the service. By proactively setting preferences based on service parameters and observed user behavior patterns, the system eliminates the need for users to manually specify every preference, thus reducing input time while maintaining customization capability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system automatically adjusts and optimizes user preferences without requiring continuous user input. By monitoring user interactions and service usage patterns, the system self-adjusts preferences to match user needs, making the customization process autonomous and eliminating time-consuming manual specification.

Inventive Principle:

Principle #25Self-service

3Measurement precision

If the system collects and processes user preference data from multiple users, then preference accuracy is improved, but data processing complexity increases

Engineering Contradiction:

Improvepreference probability accuracyVSAvoiddata processing system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system combines preference data from multiple users into aggregated probability values. By merging individual user preferences into collective statistical patterns, the system achieves more accurate preference predictions while distributing the processing load, thus improving measurement precision without proportionally increasing complexity.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system transforms raw user preference data into probability parameters that represent the likelihood of users preferring particular service settings. By changing the parameter representation from individual preferences to probability distributions, the system achieves more accurate and compact preference modeling.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS8688090B2Data session preferences

Publication Date: 2014.04.01 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method includes receiving a request from a user device for a service, initializing the service, initializing a user preference based on a parameter associated with the service and a preference probability value, the preference probability value including a probability that a user would prefer a particular value as a preference based on values selected by other users, and sending data to the user device according to the user preference.