Information Processing Apparatus for Data Distribution Recommendation

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Solution Overview

Problem

Existing data distribution services face challenges in recommending relevant data to users, as current systems primarily rely on metadata from the service subscriber, limiting the range of recommended data and user convenience.

Innovation Solution

An information processing apparatus that extracts related users based on associated information and generates recommendation information for target users, suggesting data available through the data distribution service, thereby expanding the scope of recommended data beyond what the subscriber can expect.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If recommendation data is generated based on metadata from service subscriber, then recommendation accuracy for expected data is improved, but the range of recommended data is limited

Engineering Contradiction:

Improverecommendation accuracyVSAvoidrange of recommended data

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent introduces 'related user associated information' as an intermediary element between the service subscriber and the data distribution service. By extracting and utilizing information from related users (such as their data access patterns, preferences, and behaviors), the system expands the recommendation scope beyond what the subscriber can directly specify, while maintaining recommendation accuracy through the mediating filter of related user profiles.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent adds a new dimension to the recommendation system by incorporating data from multiple users (related users) rather than relying solely on the service subscriber's metadata. This dimensional expansion allows the system to recommend data across broader categories and domains while maintaining precision through the structured extraction of associated information from multiple sources.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Quantity of substance

If data distribution service includes various kinds of data, then service completeness is improved, but user ability to find useful data deteriorates

Engineering Contradiction:

Improveservice completenessVSAvoiduser ability to find useful data

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The patent implements a feedback mechanism by continuously extracting associated information from related users' data access patterns and behaviors. This feedback loop enables the system to dynamically adjust and refine recommendations, making it easier for users to find useful data among the vast array of available data while maintaining service completeness. The system learns from related users' successful data discoveries and applies these insights to improve the target user's data search experience.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20240169412A1Information processing device, reccomended information generation method, and storage medium

Publication Date: 2024.05.23 NEC CORP

AI summary

In order to enhance convenience of the data distribution service, an information processing apparatus (1) includes: a related user extracting section (11) that extracts a related user relating to the target user on the basis of target user associated information which is associated with a target user; and a recommendation information generating section (12) that generates, on the basis of related user associated information which is associated with the related user, recommendation information indicating data obtaining of which is recommended to the target user.