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Visual search. In 2017, Pinterest introduced a "visual search" function that allows users to search for elements in images (existing pins, existing parts of a photo, or new photos) and guide users to suggested similar content within Pinterest's database.
List of search engines. Search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites have a search facility for online databases .
Product. April 24: Pinterest announces and releases Guided Search for its mobile apps, a new visual way to explore Pinterest's more than 30 billion pins—links or images chosen by users and assigned by them to topical collections. [32] [33] June 11: Guided Search is released on the web version of the site.
Pinterest: Pinterest United States: 2009 498 million: 98 million U.S. monthly active users: 19 Quora: Quora United States: 2009 400 million: 20 JOSH: VerSe Innovation India: 2020 300 million: 21 Teams: Microsoft United States: 2017 300 million: 145 million daily active users: 22 Skype: Microsoft United States: 2003 300 million
Pinterest: 250,000,000 JavaScript: Python , Erlang, Elixir: MySQL, Redis: Search engine for ideas. WordPress.com: 240,000,000 : JavaScript: PHP: MariaDB: Website manager software. Netflix: 223.090.000 (Subscribers, not visitors) JavaScript: Python, Java: NMDB, PostgreSQL: The biggest video streaming service in the world.
Pinterest home page.png 436 × 228; 145 KB. Category: American social networking websites. Wikipedia categories named after websites.
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He is the co-founder and executive chairman of Pinterest, a visual discovery engine which lets users organize images, links, recipes and other things.
Evan Sharp. Born. 1982 (age 41–42) Philadelphia, Pennsylvania, US. Education. University of Chicago. Columbia Graduate School of Architecture, Planning and Preservation. Known for. Co-founder and Chief Design & Creative Officer, Pinterest.
A Web query topic classification/categorization is a problem in information science. The task is to assign a Web search query to one or more predefined categories, based on its topics. The importance of query classification is underscored by many services provided by Web search.