Incentive Mechanism for User Content Recommendation

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Solution Overview

Problem

Existing content provision services lack an effective mechanism to encourage multiple users to recommend content, leading to suboptimal user engagement and content sharing.

Innovation Solution

An information processing device and method that acquires specification information from multiple users, calculates the frequency of content specification, and applies incentives based on this data to encourage content recommendation, featuring a content provision server that generates rankings and applies points to users for specifying and sharing content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If content is provided to users via network services, then users can access various types of information, but user engagement and content sharing remain suboptimal without effective recommendation mechanisms

Engineering Contradiction:

Improvecontent sharing efficiencyVSAvoiduser engagement

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system implements a feedback mechanism where user specification actions are tracked and converted into ranking data. This feedback loop motivates users to continue specifying content they find interesting, as their actions directly contribute to personalized content delivery and system improvement, thereby enhancing both engagement and sharing efficiency

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes the parameter of user motivation by introducing a ranking mechanism based on specification frequency. Users receive feedback on their ranking status, which transforms the abstract concept of content preference into a tangible metric, encouraging increased participation and content sharing

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If multiple users are encouraged to recommend content, then content relevance improves, but the system lacks an effective incentive mechanism

Engineering Contradiction:

Improvecontent relevance accuracyVSAvoidincentive mechanism complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system enables users to self-motivate through the ranking mechanism. By displaying their specification frequency and ranking position, users automatically engage in more content specification to improve their standing, eliminating the need for complex external incentive management while improving content relevance measurement

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The ranking system provides continuous feedback to users about their contribution level. This feedback mechanism simplifies the incentive structure by using transparent, automatically calculated rankings based on specification frequency, making the incentive mechanism easy to understand and implement while improving content relevance

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10552881B2Information processing device, information processing method, and program

Publication Date: 2020.02.04 SONY GROUP CORP

AI summary

[Object] To make it possible to urge a plurality of users to recommend content.[Solution] Provided is an information processing device including: an acquisition unit configured to acquire a plurality of pieces of specification information for specifying content from a plurality of users, respectively; and a control unit configured to calculate the number of times in which each piece of the content is specified by the plurality of users on the basis of the plurality of pieces of the specification information acquired from the plurality of users and control application of an incentive to the plurality of users on the basis of the calculated number of times.