The dynamic search algorithm, also known as the "search-as-you-type" algorithm, is commonly used to implement features like autocomplete in search bars. This algorithm provides real-time suggestions based on the user's input and the available data.
How It Works
- Start with a dataset containing a list of items (e.g., words, names or products).
- As the user types each character, update the search query.
- Filter the dataset based on the current search query.
- Display the filtered results to the user in real-time.
Example
Consider a dataset of programming languages: ["C", "C++", "Java", "Python", "JavaScript", "Ruby", "Swift"].
- User types "C". Filtered results: ["C", "C++"].
- User types "C++". Filtered results: ["C++"].
- User types "Java". Filtered results: ["Java", "JavaScript"].
- User types "Py". Filtered results: ["Python"].
- User types "Jav". Filtered results: ["Java", "JavaScript"].
Example Code in C++
In this example, the dynamicSearch
function takes a dataset of programming languages and a user query as inputs. It returns suggestions based on the current query. As the user types characters, the algorithm filters the dataset and displays real-time suggestions.
Note: The actual implementation of dynamic search can be more complex, involving techniques like trie structures or efficient indexing for large datasets.