New York, NY, United States
New York, NY, United States

Time filter

Source Type

Patent
Foursquare | Date: 2015-07-29

In non-limiting examples of the present disclosure, taste data is generated and usable within one or more applications. A taste is one or more elements that describe an entity. Information of an application may be processed to extract entity data that corresponds to a plurality of candidates to be designated as tastes (taste data). The candidates for the tastes are curated. In examples, the curating comprises filtering the candidates for tastes to remove extracted candidates. Extraction rules for managing structured taste data may be applied in the filtering. A status of a remaining candidate may be determined as approved or rejected based on processing of received user feedback. Taste data may be generated for an approved candidate. The generating of the taste data may comprise assigning parameters that include a descriptor type and a recommendation type. Taste data may be used within an application.


In non-limiting examples, passive information is used to verify the location of a client computing device and to create segment categories for directed information using location-based services and/or applications. In aspects, passive information is received from a client computing device. The client computing device is detected as being located at a predicted venue using the passive information. It may be determined whether directed information associated with the predicted venue has been displayed at an earlier time on a predetermined portion of the client computing device. In response to determining directed information associated with the predicted venue has been displayed on the predetermined portion of the client computing device, a statistical model may be applied to calculate a confidence score that the client computing device is located at the predicted venue. When the confidence score meets a predetermined threshold, a directed information conversion record may be stored in a data store.


Patent
Foursquare | Date: 2015-10-29

Non-limiting examples of the present disclosure describe analysis of venue data and prediction of trendiness of venues based analyzing the venue data. As an example, one or more new venues are determined. The one or more new venues are determined by identification of a venue that has venue data existing for a period of time less than or equal to a predetermined time threshold. The venue data associated with the one or more new venues is evaluated. A predicted popularity for the one or more new venues is generated based on evaluation of the venue data. The generated predicted popularity may be provided to a processing device. In some examples, a ranked list of the one or more new venues is generated. The ranked list may display the one or more venues in a ranked order according to the generated predicted popularity. Other examples are also described.


New office in Singapore and growing team sign marquee deals NEW YORK and SINGAPORE, June 27, 2017 /PRNewswire/ -- Foursquare, the location intelligence company, today announced new and expanded partnerships with industry-leading companies in Asia. The company also announced its new Singapore offices where Foursquare's growing Asia team is based. Asia is Foursquare's fastest-growing market outside the U.S., with nearly a dozen partnerships that leverage Foursquare's location intelligence to build contextually-aware solutions for AI, AR, O2O, ride-sharing, messaging and more. Hundreds of companies already leverage Foursquare's enterprise and advertising products around the globe, from Apple and AT&T to Unilever. Foursquare is now the exclusive location partner for WeChat globally outside of China.  Consumers who use the app to chat with friends can add a location or tag a Moments post with a place and see address, tips and other venue details. Tencent also leverages Foursquare tech in its other social apps QQ and Qzone, where users outside of China use Foursquare to share their location with friends, or choose a location when posting an update. Other partners in the social networking space in Asia that leverage Foursquare include the global app Path - a check-in app that's widely popular in Indonesia - and Momo, the Chinese social network. Foursquare is Momo's sole location provider outside of China. Foursquare's deep integration with Samsung showcases the company's ability to enhance new mobile phones. Whenever a person with the Galaxy S8 and S8+ takes a photo, the image is attached to the specific location using Foursquare's Places database of more than 105M venues around the globe. The phone also serves up contextually relevant locations for those who are searching for a place to eat, drink or explore. Foursquare technology is also powering the phone calendar feature for LG; appointment locations are based on the Foursquare database, which also helps users find convenient meeting locations nearby. Carousell, one of the world's largest mobile marketplaces, is using Foursquare location to help buyers and sellers identify nearby places to meet and exchange goods or payment. "At Carousell, we connect people so they can buy and sell pre-loved items. Foursquare and its expertise in location-based services helps us connect our Carousellers more effectively, making it all the more convenient to get the items they always wanted," said Lucas Ngoo, Co-founder & CTO, Carousell. Foursquare's API also powers several ride-hailing companies in Asia. Travel Japan WiFi, one of the country's top travel apps, helps direct travelers to the best places to eat and drink and provides details on 200,000 Wi-Fi hotspots. "It is simple and easy to integrate the Foursquare APIs, which immediately resulted in a highly-scalable product," said Kenji Soma, CTO of Wire and Wireless Co. "We are also reassured that nearly every place in the world is in the Foursquare database, so we can deliver top-notch recommendations, always." Foursquare announced the expansion of its Asia-based team, who offer on-the-ground technical support and local language fluency, and work hand-in-hand with partners as they design location-powered products. The leadership includes: Jeremy has more than 15 years of experience bringing data-oriented enterprise technology companies into China, Korea, Japan, India, Australia and SE-Asia. Formerly the Founder & CEO at Retailigence, Jeremy understands the power of mobile location data and the needs of Asian enterprise customers. Allen's expertise, honed from years at Baidu, Lenovo, Dell and Nokia, expands and deepens Foursquare's relationships with a rapidly growing number of international developers and internet and hardware companies. Hyunil has years of experience in technical, product and implementation roles at Korea-based Naver and Japan-based LINE, and played a key role in Germany-based SAP's expansion in China. About Foursquare: Foursquare is a technology company that enriches consumer experiences and informs business decisions through location intelligence. Foursquare powers location data for Samsung, Apple, Twitter, Reddit and 100,000 other developers. Foursquare's business solutions also include Pinpoint, Attribution, Pilgrim SDK and Foursquare Analytics, which empower brands to understand and connect to targeted audiences as well as measure foot traffic and advertising success.


Patent
Foursquare | Date: 2015-03-31

In non-limiting examples, wireless scan data collected from a processing device is directly mapped to venues. Wireless scan data is received from a processing device where the wireless scan data comprises at least a first identifier of a wireless connection. Venues associated with the first identifier are identified from a mapping of wireless identifiers to venues based on active validation data associated with particular venues including historical wireless scan data of the particular venues. The plurality of venues are ranked according to a likelihood that the processing device is located at a particular venue based on evaluating the active validation data including the historical wireless scan data from the mapping. A predicted venue that the processing device is located at is determined based on the ranking of the plurality of venues. Other examples are also described.


A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a users social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface.


A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a users social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.


A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a users social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface.


A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a users social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.


News Article | October 31, 2015
Site: www.redmondpie.com

Google Releases New App For iOS, Android To Help Friends Hang Out Google has today launched a new Who’s Down mobile app, making it easier for people to see whether their friends are up for hanging out. The app, which requires an invite in order to use and is currently available for both iOS and Android, makes it possible for people to tell their friends whether they are free to hang out or not without ever having to type a word. Using Who’s Down is a case of a user being present with the Who’s Down For question, with the end of that sentence being made up from a selection of popular choices or a custom entry. That question is then sent out to a user’s friends. Their friends’ phones then respond based on a switch that determines if they are up for hanging out or not, instantly presenting a list of available friends to the user who sent out the invite. The idea is to cut down on the number of messages being passed around to find out something relatively simple – who’s around and wants to hang out? There is a built-in chat option, though, most likely to help chalk out plans in further detail. One of Google’s more strange apps, Who’s Down goes up against apps such as Swarm, a location-based app that was spun out of Foursquare a while ago. Making it easier for friends to meet up for events or get-togethers is exactly what Swarm was intending to do, and now Google’s Who’s Down may have stolen its thunder. We’re still not sure about its longevity, however, and the invite system is no fun for anyone. Asking for an invite is a case of downloading and launching the mobile app itself or heading over to the Who’s Down website and requesting one, but we’d rather the whole process just didn’t exist. Call us old fashioned, but we’re ready for apps with invitation systems to go away. Just let us download your apps and try them, folks. If your servers aren’t ready, then don’t launch! If you’d rather not waste time downloading the Android or iOS app, head on over to the official website at whosdown.com to request an invite. You can follow us on Twitter, add us to your circle on Google+ or like our Facebook page to keep yourself updated on all the latest from Microsoft, Google, Apple and the web.

Loading Foursquare collaborators
Loading Foursquare collaborators