What is candidate generation?
The process of producing a set of possible solutions or options for a given problem or task
candidate generation explained in plain English
Candidate generation is a technique used in artificial intelligence to generate a list of potential solutions or candidates that can be further evaluated and refined to find the best solution
Analogy
Candidate generation is like throwing darts at a target, where the initial throws are scattered and cover a wide area, and then subsequent throws are more precise and focused on the most promising areas
Example
For example, in a search engine, candidate generation is used to generate a list of possible search results based on the user's query, and then the results are ranked and filtered to show the most relevant ones
How is candidate generation used?
Candidate generation is used in various AI applications, such as natural language processing, computer vision, and recommender systems, to generate a set of possible solutions or options that can be further evaluated and refined
Common misconceptions about candidate generation
History
The concept of candidate generation has been around since the early days of artificial intelligence, and has been used in various forms and applications over the years
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