SUNNYVALE, CA--(Marketwired - May 21, 2014) - Flipora is already helping 25 million users around the world discover exciting new websites with the help of their innovative recommendation engine. Flipora's new API now provides access to Flipora's machine learning-based, topical text categorizer, codenamed "FlipCat". FlipCat is one of the key components of Flipora's recommendation engine that is used for personalization to build an interest profile for users. It is capable of categorizing websites, search queries, ads or any piece of text into a deep, topical taxonomy with over 3000 topics (interests). One of the key aspects of personalization involves mapping a specific user activity (e.g. a webpage a user browses, a search query, an ad click etc.) into a broader topic or interest. For example, if a user reads an article about Magnus Carlsen on the Web, Flipora would determine that this user is interested in Chess by categorizing that article about Magnus into the "Chess" interest.
"We are very excited about the kind of applications and products that developers can build when they have access to a technology like FlipCat. Flipora already uses FlipCat internally for inferring users' interests and showing targeted website recommendations and now we're opening up access to our personalization technology for the rest of the world," says Vijay Krishnan, Flipora Co-CEO. "FlipCat uses state-of-the-art machine learning algorithms for topic inference. For example, developers can use the API to bucket their users into interest groups based on the webpages they browse or click through. This can help developers show other webpages or ads on the same topic to those users, which is likely to be a lot more engaging to them since it's personalized," adds Jonathan Siddharth, Flipora Co-CEO. Developers can have access to a free trial of the API by emailing email@example.com. Flipora will be announcing pricing details for the API later in the year. The API can be accessed at http://ai.flipora.com/, which also offers a public facing demo to try out examples. The API can take as input, a URL or any piece of text and returns the correct topic from the taxonomy. Flipora's Topical Categorization API is significantly more accurate and faster than other third-party offerings in the industry today. The company expects to extend the API and offer additional features later in the year based on developer requests and demand.
The launch of the API comes as Flipora is getting ready to announce the next version of the Flipora recommendation engine. Flipora is an intelligent Web Discovery Engine that automatically figures out what users are interested in and recommends great websites to them based on what they are currently in the mood for. Users can follow their interests as well as other interesting users on Flipora. Other significant updates to Flipora's core recommendation engine will follow in the coming months, including more interests, even better website recommendations, and seamless implicit personalization. The company has also been profitable since 2013 and Flipora's traffic has been continuing to grow at a remarkable rate.
Flipora is a web-based recommendation engine that recommends websites to users personalized to their interests. Flipora uses machine learning to intelligently infer a users interests based on his or her Web browsing history and Facebook activity. The Web is the world's largest knowledge base and our goal is to categorize the world's knowledge and recommend it to users based on their interests.
Starting out of Stanford University, Flipora.com now has nearly 30 million users and has raised Venture Capital from some of the best investors in Silicon Valley, with prior successes such as PayPal, Twitter, Skype, Tesla, Baidu, and Hotmail.
Flipora -- World's Knowledge At Your Fingertips: http://www.fliporareviews.com/