1. A computer-implemented method, comprising: analyzing a plurality of pages of a multi-page document to identify quantity and type of rich content in each one of the plurality of pages; assigning a score to each one of the plurality of pages in the multi-page document, wherein the score for a respective one of the plurality of pages is dependent on the quantity of rich content items on the respective one of the plurality of pages and the type of each rich content item on the respective one of the plurality of pages, wherein said assigning comprises scoring each page based on the quantity and type of rich content items within that page; identifying a page of the plurality of pages with the highest score; and designating the page with the highest score to be displayed as a thumbnail of the multi-page document, wherein the thumbnail is a single visual representation for the multi-page document.
1. A computer-implemented method, comprising: analyzing a plurality of pages of a multi-page document to identify quantity and type of rich content in each one of the plurality of pages; assigning a score to each one of the plurality of pages in the multi-page document, wherein the score for a respective one of the plurality of pages is dependent on the quantity of rich content items on the respective one of the plurality of pages and the type of each rich content item on the respective one of the plurality of pages, wherein said assigning comprises scoring each page based on the quantity and type of rich content items within that page; identifying a page of the plurality of pages with the highest score; and designating the page with the highest score to be displayed as a thumbnail of the multi-page document, wherein the thumbnail is a single visual representation for the multi-page document. 7. The method of claim 1 , wherein said rich content comprises one or more of an image, a comment, a video, a graphic, audio, a table, or text with styling.