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How Does Smart Pagination Optimize User Experience in Displaying Large Datasets?
How Does Smart Pagination Optimize User Experience in Displaying Large Datasets?
Smart Pagination Algorithm
Pagination is a technique used to break down large datasets into manageable chunks, allowing users to navigate through multiple pages to access the full dataset. While basic pagination algorithms may display a long list of page numbers, smart pagination algorithms aim to optimize the user experience by truncating the page list and only displaying a limited number of pages adjacent to the current page.
Implementation
A popular smart pagination algorithm involves dividing the total number of pages into three categories:
First Pages: This group includes the first few pages of the dataset.
Last Pages: This group includes the last few pages of the dataset.
Adjacent Pages: This group includes the pages immediately preceding and following the current page.
Based on these categories, the algorithm constructs the pagination menu as follows:
- If the total number of pages is less than or equal to 7: Display all page numbers in sequence.
-
If the total number of pages is greater than 7:
- Display the first group of pages (e.g., 1, 2, 3, 4).
- Include an ellipsis (...) to indicate that pages are skipped.
- Display the last group of pages (e.g., 97, 98, 99, 100).
- If the current page is close to the beginning or end of the dataset, hide some pages at the beginning or end to maintain a visually balanced pagination menu.
- Adjust for Current Page: Highlight the current page with an active indicator.
Example Output
For a dataset with 100 pages, using an adjacency of 2 pages:
-
Current page: 1
- Pages: 1 2 3 4 5 6 ... 100
-
Current page: 16
- Pages: 1 2 ... 14 15 16 17 18 ... 100
-
Current page: 99
- Pages: 1 2 ... 97 98 99 100
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