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Artificial Intelligence Task

Similarity Analysis

Refers to the process of determining the degree of similarity between two or more items. In the context of AI, this technique is commonly used to analyze and compare textual data, such as documents, articles, or social media posts. By identifying the similarities between different pieces of content, AI systems can extract valuable insights and patterns.

Input

Pairs or sets of items (sentences, parragraphs, documents, images)

Output

Measures of similarity between items, top n

Goal

To quantify the degree of similarity between data points

Learning Strategy

Metric learning and similarity measures on featured extracted data

Evaluation Metric

Precision, recall, and accuracy of similarity predictions

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