Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods determine a breaking news story and track breaking developments in such story. The present disclosure can construct a breaking news storyline from the developments in the detected breaking news story, whereby a user can view the storyline as individual breaking news messages or as a complete timeline of events displayed on a provided page.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a real-time (or near real-time) push notification delivery framework. The disclosed systems and methods enable the delivery of personalized, location and/or temporally sensitive breaking news to users' devices. The disclosed systems and methods leverage the explosion of social data, expert knowledge and user feedback, all available on-line, to deliver breaking (or trending) news stories to users in a personalized, location and/or temporally sensitive manner.

Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.

Abstract: Techniques for providing location-based recommendations are described. Some embodiments provide a Location-Based Recommendation System (“LRBS”) that provides recommendations regarding physical places based on content items, such as Web pages, user reviews, directory listings, or the like, that describe or otherwise reference those places. In one embodiment, the LBRS is configured to, in response to an indication of a first place, determine one or more other places that are similar to the first place, and then provide indications of the determined places as recommendations to a user or other entity. In another embodiment, the LBRS is configured to, in response to an indication of a user, determine one or more places that may be of interest to the user, and then provide indications of the determined places as recommendations. In some embodiments, the LBRS may determine recommendations based on content vectors associated with places and/or users.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identify: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Various embodiments of the present disclosure relate to systems and methods for delivering various types of content (such as news articles) to users. Among other things, embodiments of the present disclosure help provide users with concise articles containing the best content from a variety of sources, and present such content in a task-oriented manner that is finite and incentivizes the user to review the content.

Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.

Abstract: Embodiments of the present disclosure may be used to gather, rank, categorize, and perform other processing of various types of content. In some embodiments, content items such as text, images, video, and other content are received from a variety of different sources and are processed to generate an article containing selected content items. While there may be hundreds or thousands of separate articles and stories regarding a particular topic, embodiments of the present disclosure help provide users with a single concise article that contains high-quality content items selected from among a potentially vast number of disparate sources.

Abstract: Embodiments of the present disclosure may be utilized to analyze a content item comprising text to identify: a quote, a named entity that is the source of the quote (e.g., a person or organization such as a company), and identification information for the named entity (such as a title of the person giving the quote). Quotes may also be ranked to determine, for example, the best quotes to include in an article.

Abstract: Disclosed is a method and system for transmitting, by a processor to a client device, a software application (e.g., a mobile app or a web page) configured to load, by a computer processor of the client device, a graphical user interface (GUI), the GUI including a header space and a content display space. The software application is further configured to display, by the computer processor, the GUI in a first frame, detect, by the computer processor, user interaction with content displayed in the content display space of the GUI, compare, by the computer processor, the user interaction with a set of stored user interactions, and, based on the comparing, change, by the computer processor, the header space in the GUI in the first frame.