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International Journal on Semantic Web and Information Systems • Vol 21 • No 1
Semantic Web-Based Small Sample Data Recommendation Algorithm Using Weighted Mutual Information
2025
In today's digital landscape, recommendation systems are vital for personalized content delivery across e-commerce, social media, and online education. This paper presents a Semantic Web-Based Small Sample Data Recommendation Algorithm Using Weighted Mutual I…
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Computer Vision

Computerized information extraction from images

Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high- dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.

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International Journal on Semantic Web and Information Systems • Vol 21 • No 1
Semantic Web-Based Small Sample Data Recommendation Algorithm Using Weighted Mutual Information
2025
In today's digital landscape, recommendation systems are vital for personalized content delivery across e-commerce, social media, and online education. This paper presents a Semantic Web-Based Small Sample Data Recommendation Algorithm Using Weighted Mutual Information, addressing significant challenges posed by data sparsity in conventional recommendation methods. Traditional algorithms often struggle with limited user behavior and item data, resulting in poor recommendations. Our approach utilizes a weighted mut…
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