Article Recommendation Device Using Network Evaluation Data

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Solution Overview

Problem

In the retail industry, there is a need to recommend articles related to those with good reputations in networking services, as increased demand often arises for similar or related items.

Innovation Solution

An article recommendation device and method that acquires a first article based on networking service evaluations, identifies its category and features, and displays related second articles as recommendations, utilizing a processor and memory to facilitate this process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual article selection and recommendation is performed, then recommendation accuracy may be maintained through human judgment, but labor costs and time consumption increase

Engineering Contradiction:

Improvearticle recommendation efficiencyVSAvoidevaluation information utilization

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent replaces manual mechanical selection processes with an automated information processing system that collects, analyzes, and processes article evaluation data from networking services using a processor-based device, thereby improving efficiency while maintaining recommendation quality

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables automatic article recommendation by having the device independently collect evaluation information, process the data according to predetermined criteria, and generate recommendations without requiring continuous human intervention, allowing the system to serve itself in the recommendation process

Inventive Principle:

Principle #25Self-service

2Reliability

If article recommendations are based on comprehensive evaluation data from networking services, then recommendation quality improves, but data processing complexity increases

Engineering Contradiction:

Improverecommendation accuracyVSAvoidprocessing system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts only the necessary evaluation information from networking services that is relevant to article recommendations, filtering out unnecessary data to reduce processing complexity while maintaining recommendation accuracy through selective information extraction

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system changes the parameters of evaluation data by converting unstructured networking service data into structured, processable formats with specific criteria, making the data more manageable and reducing processing complexity while preserving the essential evaluation qualities

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11915193B2Article recommendation device, article recommendation method, and recording medium

Publication Date: 2024.02.27 NEC CORP

AI summary

An article recommendation device includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: acquiring a first article based on information related to a predetermined evaluation in a networking service; acquiring at least one of a category that includes the acquired first article and a feature of the first article; acquiring a second article related to at least one of the acquired category and the feature; and displaying the acquired second article as a recommended article.