Description: The ‘Query-by-Example’ is a data retrieval method that allows users to find relevant information by providing an example of the desired output. This approach is based on the idea that instead of formulating complex queries or using specific keywords, users can simply show an example of what they are looking for. The technology behind this method relies on machine learning algorithms and computer vision, which analyze the provided example and search for similar patterns in large databases. This type of query is particularly useful in contexts where information is visual or where textual descriptions may be insufficient. ‘Query-by-Example’ facilitates the interaction between humans and machines, allowing systems to better understand user intentions and provide more accurate and relevant results. Furthermore, this method has become increasingly accessible due to improvements in data processing and analysis capabilities, leading to its adoption in various technological applications.
History: The ‘Query-by-Example’ has evolved over the past few decades, driven by advancements in artificial intelligence and machine learning. Although its roots can be traced back to early information retrieval systems in the 1960s, it was in the 1990s that more sophisticated algorithms began to be developed, allowing for example-based searching. With the rise of computer vision in the 21st century, this technique has gained popularity in applications such as image search and pattern recognition.
Uses: The ‘Query-by-Example’ is used in various applications, including image search engines, recommendation systems, and e-commerce platforms. It allows users to search for products similar to those they already like, facilitating navigation and enhancing the customer experience. It is also applied in the medical field, where professionals can search for similar medical images for diagnostics.
Examples: An example of ‘Query-by-Example’ is the use of Google Images, where users can upload a photo and find similar images on the web. Another case is Netflix’s recommendation system, which suggests movies based on examples of titles the user has previously enjoyed.
