Abstract:
Computer-implemented techniques can include obtaining future travel plans for a user in a region that utilizes a language that is foreign to the user and predicting, based on the future travel plans, an expected future offline period during which the user is unlikely to have access to a network connection via a client computing device. The techniques can include identifying one or more points of interest in future the travel plans in the expected future offline period where the user is likely to require translation of foreign language text and obtaining portions of foreign language text associated therewith. The techniques can also include, prior to the expected future offline period, obtaining translated portions of text representing translations of the portions of foreign language text to a preferred language of the user and transmitting, to the client computing device, the translated portions of text.
Abstract:
Systems and methods for identifying relevancy scores of a keyword cluster related to an event category for a given time period relative to an event of the event category. Processors identify an event and determine event parameters of the event. Processors determine keyword clusters associated with the event parameters for serving content. Processors generate a relevancy score for each of the keyword clusters over plurality of time periods relative to the event. The relevancy score of a first subset of the keyword clusters is higher during a first time period than a second time period and the relevancy score of a second subset of the keyword clusters is higher during the second time period than the first time period. Processors create, for the event, a data structure including the keyword clusters and the generated relevancy scores for each of the keyword clusters over the time periods relative to the event.
Abstract:
Systems and methods for creating image-based content based on text-based content. A data processing system receives a text-based content item based on which an image-based content item is to be created. The data processing system determines a context of the text-based content item based on the content of the text-based content item and the content of a landing page associated with the text-based content item. The data processing system determines one or more search terms from the determined context of the text-based content item. The data processing system then identifies from an image database, one or more candidate images that match at least one of the search terms determined from the context of the text-based content item. The data processing system then creates an image-based content item based on the text-based content item using at least one of the candidate images.
Abstract:
A search system receives an image search query from a user and retrieves image search results. For each image search result, the search system identifies a product based on metadata associated with the image search result. For each image search result, the search system associates an offer for the product corresponding to the image search result. For each image search result, the search system identifies a purchase link for the product associated with the offer associated with each image search result and generates a purchase icon within the image search result comprising the purchase link. The search system presents the image search results comprising the purchase icons to the user. The user selects a purchase icon of an image search result and the user computing device web browser is redirected to a website where the user may purchase the product corresponding to the purchase link.
Abstract:
An advertising system receives, from a merchant system, marketing information, bidding preferences for auctions for advertising spaces, and a merchant system reservation calendar comprising an availability for the merchant system. The advertising system receives a notice of an auction for an advertising space from an advertising platform. The advertising system determines a first bid for the auction based on the availability of the merchant system, the marketing information, and the merchant system's bidding preferences and transmits the first bid to the advertising platform. The advertising system receives a notice of an incomplete auction from the advertising platform. The advertising system receives, from the merchant system, an updated merchant system reservation calendar comprising an updated availability and determines a second bid for the advertising space auction. The advertising system transmits the second bid to the advertising platform. The advertising system receives a notice of a completed auction from the advertising platform.
Abstract:
Aspects of the present disclosure relate generally to determining whether a given user is a local or knowledgeable driver of a given area and using their driving habits, routes and other factors to improve mapping recommendations in real-time. For example, paths traveled within the given area by a driver are weighted based on the driver's level of knowledge of the given area. Based on the weight, the paths traveled by the driver may be used to update map information, replace suggested routes of travel, or the like.
Abstract:
Systems and methods for creating image-based content based on text-based content. A data processing system receives a text-based content item based on which an image-based content item is to be created. The data processing system determines a context of the text-based content item based on the content of the text-based content item and the content of a landing page associated with the text-based content item. The data processing system determines one or more search terms from the determined context of the text-based content item. The data processing system then identifies from an image database, one or more candidate images that match at least one of the search terms determined from the context of the text-based content item. The data processing system then creates an image-based content item based on the text-based content item using at least one of the candidate images.