Link Information Generation for Recommendation Precision
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Solution Overview
Problem
Conventional information-processing systems fail to effectively group objects based on user operations and input information, leading to low precision in recommending products and services.
Innovation Solution
An information-processing apparatus that stores operation information, generates link information based on user interactions, and identifies relevant objects within a group using link relationships, improving recommendation precision by analyzing user operations and input data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional information-processing systems use basic collaborative filtering methods, then the system can provide recommendation services, but the precision in recommending products and services remains low
Solution Approach 1:
The patent segments the recommendation system into multiple specialized components: operation information storage portion for storing user operations, link information-generating portion for creating relationships, in-group object identifier-acquiring portion for finding related objects, and in-group object information output portion for delivering recommendations. This segmentation allows each component to focus on a specific task, improving overall recommendation precision while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent introduces a new dimension of link information that captures the relationships between objects based on user operations. Instead of only analyzing direct user preferences, the system creates a multi-dimensional view by generating link information that shows how objects are connected through user behavior patterns, enabling more precise recommendations through indirect relationships.
2Measurement precision
If the system stores and processes detailed operation information and generates link information, then recommendation precision improves, but the amount of data processing and storage requirements increase
Solution Approach 1:
The patent extracts only the essential elements needed for recommendation: user identifiers, object identifiers, and link relationships. Instead of storing and processing all raw user interaction data, the system extracts and stores only the critical operation information and generated link information, reducing data volume while maintaining recommendation precision.
Solution Approach 2:
The system performs preliminary processing by pre-generating link information from operation data and storing it in advance. This preliminary action transforms raw operation information into structured link relationships that can be quickly queried during recommendation generation, reducing the computational burden and data processing requirements at the time of actual recommendation delivery.
Data Source
AI summary
An information-processing apparatus includes: a link information-generating portion that reads two or more pieces of operation information having a user identifier and an object identifier for identifying an object on which a user has performed an operation, detects two or more object identifiers linked via a user identifier contained in the two or more pieces of operation information, and generates link information indicating a link relationship between two or more objects; an object identifier-accepting portion that accepts one object identifier; an in-group object identifier-acquiring portion that acquires an object identifier having at least a predetermined level of relevance with the one object identifier accepted by the object identifier-accepting portion, using the generated link information; and an in-group object information output portion that outputs object information, which is information related to an object identified with the object identifier acquired by the in-group object identifier-acquiring portion.