Ringtone Service Personalization via Implicit User Behavior Analysis
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Solution Overview
Problem
Users of communication devices desire convenient and personalized ringtone services that can predict and recommend ringtones based on their behavior, but existing systems lack efficient methods for selecting and distributing customized ringtones.
Innovation Solution
A ringtone service that uses user data, such as media files, browser history, and messages, to generate selector data for recommending ringtones and provides a media purchase link for users to purchase associated media files, utilizing a collaborative filter and implicit observations of user behavior to select and distribute ringtones through a communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a ringtone service uses user data to generate personalized ringtone recommendations, then user experience and personalization are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a ringtone selector component that acts as an intermediary between user data and ringtone recommendations. This selector processes user data (media files, browser history, messages) and generates ringtone selector data that guides the selection process, thereby managing system complexity while maintaining personalization capability.
Solution Approach 2:
The system segments the personalization process into distinct components: data collection (user data), data processing (ringtone selector), and recommendation generation (ringtone service). This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while achieving personalized recommendations.
2Measurement precision
If the system collects and processes user data for ringtone recommendations, then recommendation accuracy improves, but user privacy concerns and data security requirements worsen
Solution Approach 1:
The patent extracts only the necessary elements from user data that are relevant for ringtone selection (media files, browser history, messages) and processes them locally or in a controlled manner. This extraction approach allows the system to achieve accurate predictions while minimizing the collection and storage of unnecessary personal information, thereby addressing privacy concerns.
3Productivity
If the ringtone service provides media purchase links for associated media files, then user engagement and commercial value improve, but system functionality and integration requirements worsen
Solution Approach 1:
The ringtone service is designed with multi-functionality, combining ringtone recommendation, selection, and media purchase capabilities in a single integrated system. This universal approach allows the service to provide comprehensive functionality (improving commercial value) while managing integration requirements through a unified architecture rather than separate systems.
Data Source
AI summary
A ringtone service distributes selected ringtones to respective communication devices in a communication network. A particular ringtone for a respective communication device is selected is in accordance with at least one recommendation operation and ringtone selector data. The selector data is generated from user data associated with the particular communication device from which to make implicit observations of user behavior for predicting how a user will like a particular ringtone. A media purchase link, provided with the ringtone, assists with the purchase of an associated media file from a media purchase service. A ringtone may comprise a sample from a source (e.g. an audio or video recording) and the associated medial file may comprise a copy of the source.