Virtual Space Content Filtering by Relationship-Based Relevance
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Solution Overview
Problem
In metaverse spaces, users are overwhelmed with unnecessary information, making it difficult to extract relevant content, leading to important information being overlooked.
Innovation Solution
An information presentation device calculates relationship strengths with other users based on communication history and relevance with content, selectively presenting the top-ranked information to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all information associated with each point in the metaverse space is presented to the user, then the user can access complete information, but the user is overwhelmed with unnecessary information and cannot extract relevant content efficiently
Solution Approach 1:
The system extracts only the necessary and relevant information from the complete set of information associated with each metaverse point. By calculating relevance scores based on user profiles, communication histories, and interaction patterns, the system selectively presents only those information elements that are pertinent to each user, filtering out unnecessary content while maintaining information completeness for those who need it.
2Ease of operation
If the system presents filtered information based on user relationships, then the user can easily extract relevant content, but the system complexity increases due to relationship strength calculation and relevance scoring
Solution Approach 1:
The system performs preliminary calculations of relationship strengths and information relevance scores in advance, before the user actually needs the information. By pre-processing communication histories, interaction patterns, and user profiles to establish baseline relationship metrics, the system reduces the computational burden during actual information presentation, making the filtering process more efficient despite the inherent complexity.
3Measurement precision
If the system calculates relationship strength based on communication history, then relevant information can be selectively presented, but the time required to process and analyze communication data increases
Solution Approach 1:
The system applies partial action by focusing relationship strength calculations only on the most significant communication interactions and user profiles, rather than analyzing every single data point in complete communication histories. By identifying and weighting key interaction patterns, the system achieves sufficient measurement precision for relevance determination without the excessive time cost of comprehensive analysis of all available data.
Data Source
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AI summary
Provided is an information presentation device that calculates, for each of other related-persons, a relationship strength between the user and the corresponding related-person at a point or a range in which the user performed an operation in the virtual space in the past, based on history information of communication performed between the user and the other related-persons, calculates, for each of the contents which are registered in association with each of the points in the virtual space, a relevance between the corresponding content and the user, based on the calculated relationship strength, and acquires, based on the calculated relevance for each of the contents, a top predetermined number or a top predetermined proportion of the contents having the high relevance, and selectively presents the acquired contents to the user in the virtual space.