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:

1. If the total number of pages is less than or equal to 7: Display all page numbers in sequence.

2. 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.
3. 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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