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It also has a very large fashion profile. In later years, Pinterest has also been described as a "visual search engine". Pinterest consists mainly of "pins" and "boards". A pin is an image that has been linked from a website or uploaded. Pins saved from one user's board can be saved to someone else's board, a process known as "repinning".
By using reverse image search, Pinterest is able to extract visual features from fashion objects (e.g. shoes, dress, glasses, bag, watch, pants, shorts, bikini, earrings) and offer product recommendations that look similar.
Pinterest simultaneously launches three products related to visual search: (1) Lens, which allows users to take photos of objects to find Pins related those objects; (2) Instant Ideas, a circle button that appears on each Pin that, when tapped, displays related Pins; and (3) Shop the Look, a circle button that appears on each individual item ...
He is the co-founder and chief design and creative officer of Pinterest, a visual discovery engine. He joined the company's board of directors in March 2019.
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.
He is the co-founder and executive chairman of Pinterest, a visual discovery engine which lets users organize images, links, recipes and other things.
Programming languages used in most popular websites. One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology.
Visual search is a type of perceptual task requiring attention that typically involves an active scan of the visual environment for a particular object or feature (the target) among other objects or features (the distractors). Visual search can take place with or without eye movements.
Some search engines can automatically identify a limited range of visual content, e.g. faces, trees, sky, buildings, flowers, colours etc. This can be used alone, as in content-based image retrieval, or to augment metadata in an image search.
Fan was responsible for product design at China's largest search engine and led 1,000 people. She worked on big data analytics. In 2014, she returned to Google and became Head of Image Search. In 2016, Fan joined Pinterest as Head of Engineering.