Social Recommender System for Audio Content Navigation

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Solution Overview

Problem

User navigation through large amounts of audio content in voice-based interactive systems is challenging due to limited user input capabilities and high recognition errors, especially in multilingual environments, making it difficult to select and structure relevant audio content.

Innovation Solution

A method that organizes information in user-interactive systems based on user interest by identifying user cohorts with similar preferences and reordering resources to prioritize popular content among these groups, using collaborative filtering to dynamically update navigation paths based on user behavior.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users navigate through large amounts of audio content using traditional IVR methods, then they can access information, but navigation efficiency is low and time consumption is high

Engineering Contradiction:

Improvenavigation efficiencyVSAvoidtime consumption

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-analyzing user profiles, interests, and behaviors before navigation occurs. It pre-generates personalized audio content lists and organizes them in advance, so users receive curated content without having to search through large databases, thereby improving navigation efficiency and reducing time consumption.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual mechanical navigation (users sequentially listening to menu options and making selections) with an automated intelligent system that uses machine learning algorithms to analyze user preferences and automatically generate personalized content lists, substituting the mechanical interaction model with an intelligent automated model.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If the system presents all available audio resources to users, then completeness of information is ensured, but user confusion increases and ease of operation decreases

Engineering Contradiction:

Improveease of navigationVSAvoidinformation completeness

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The system applies local quality by customizing the information presentation for each user based on their specific interests, profile, and behavior patterns. Instead of uniform presentation for all users, it tailors the audio content selection and organization to match individual user characteristics, making navigation easier while maintaining relevance and completeness of personalized information.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system enables self-service by automatically analyzing user profiles and generating personalized content lists without requiring manual user input or configuration. The system serves itself by using its own collected data about users to automatically organize and present relevant information, reducing user cognitive load while maintaining information completeness.

Inventive Principle:

Principle #25Self-service

3Adaptability or versatility

If speech recognition is used to improve user input capabilities, then interaction flexibility increases, but recognition errors increase in multilingual environments

Engineering Contradiction:

Improveinteraction flexibilityVSAvoidrecognition accuracy

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system uses copying by creating and maintaining detailed user profiles that capture language preferences, dialects, and communication patterns. These profiles serve as templates that help the system adapt speech recognition parameters for each user, improving recognition accuracy in multilingual environments while preserving interaction flexibility through personalized voice commands.

Inventive Principle:

Principle #26Copying

4Device complexity

If metadata is inferred from audio content to structure information, then organization is improved, but the limited metadata available reduces effectiveness

Engineering Contradiction:

Improveinformation structureVSAvoidmetadata completeness

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The system applies universality by using user profiles as multi-functional data structures that serve multiple purposes: they store user preferences for content filtering, capture language and cultural characteristics for speech recognition, and maintain behavioral patterns for personalization. This universal profile structure compensates for limited audio metadata by providing additional dimensions for information organization.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS8275384B2Social recommender system for generating dialogues based on similar prior dialogues from a group of users

Publication Date: 2012.09.25 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

Techniques for organizing information in a user-interactive system based on user interest are provided. In one aspect, a method for operating a system having a plurality of resources through which a user can navigate is provided. The method includes the following steps. When the user accesses the system, the resources are presented to the user in a particular order. Interests of the user in the resources presented are determined. The interests of the user are compared to interests of other users to find one or more subsets of users to which the user belongs by virtue of having similar interests. Upon one or more subsequent accesses to the system by the user, the order in which the resources are presented to the user is based on interests common to the one or more subsets of users to which the user belongs.