Abstract:
A modular search object framework can provide monetization of entity based content. Such a framework can include circuitry configured to manually or automatically link monetized search terms with entities, so that the entities can be monetized without additional bids on the entities. Once the framework generates such links, advertisers may continue to bid on search terms, and create new links or change initial links. Also, through the framework advertisers may bid on an entity that can encompass a set of associated search terms. For example, instead of bidding on a great number of search terms, an advertiser can bid on a few entities that include at least a majority of the associated search terms. With such functionality, the workload of the advertiser can be greatly reduced.
Abstract:
Disclosed herein is a projection-aware compression, which may be used on image data such as, for example, spherical image data. The compression may be considered to be non-uniform in a sense that the compression need not be uniformly applied, but may be applied to image data as a function of latitude information associated with the image data.
Abstract:
Scroll input received with regard to content within a content layer (e.g., email content displayed through an email inbox content layer of an email application) may be used as a trigger to reveal an advertisement layer or portion thereof, where the advertisement layer is under the content layer. For example, as a user scrolls towards the end of the email content, display of the email inbox content layer may be contracted and display of an advertisement layer may be expanded. In this way, one or more advertisement layers, comprising advertisements, may be displayed based upon scroll input. In an example, an advertisement may be revealed (e.g., gradually as the user scrolls towards the end of content) such that the advertisement does not occlude or visually block the content.
Abstract:
Method, system, and programs for providing packages to applications is disclosed. An application that is executable on a plurality of device platforms is generated. The application is deployed to a client device. A package list received from the client device is analyzed to determine package dependencies for packages on the package list. The packages on the package list and dependent packages are provided based on the package dependencies to the client device. The packages and dependent packages may be installed by the client device to ensure that the application is executable based on characteristics of the client device.
Abstract:
Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate or support one or more processes and/or operations for one or more on-line recommendations, such as product-related recommendations, for example.
Abstract:
Disclosed is a system, method, and non-transitory computer readable storage medium for creating personalized instantiations of an app. User input is accepted to create, by a computing device, a personalized instantiation of an app, the app comprising a home screen, the creating of the personalized instantiation occurring by generating a deep linked shortcut on the home screen of the app that links into the app with parameters to configure the app into the personalized instantiation of the app. A display is generated for displaying, on the computing device, the personalized instantiation of the app so that the personalized instantiation of the app can be launched as configured with the parameters.
Abstract:
In one embodiment, a configuration associated with an application may be ascertained, where the configuration indicates a number of instances and a first instance type. Requests associated with the application may be routed among two or more sets of instances, where each of the two or more sets of instances have a different, corresponding instance type of two or more instance types including the first instance type. Metrics associated with the routing of requests to each of the two or more sets of instances may be obtained. The metrics may be analyzed to identify an optimal instance type for the application. Further requests associated with the application may be routed to a set of the number of instances having the optimal instance type.
Abstract:
Disclosed herein is a matching of multiple different social graphs to generate a combined social graph. Such a combined social graph may be searched and used in determining information to provide to a user, for example. An iterative metric learning approach may be used in matching multiple different social graphs. A mechanism is provided to validate a match from different social graphs. Match validation of data field matching is provided.
Abstract:
Users consume a wide variety of content from various sources, such as videos accessible through websites. As provided herein, content recommendations that are contextually and/or semantically relevant to current content consumed by a user may be identified and provided to the user. For example, metadata for a video being watched by the user may be identified (e.g., terms extracted from a description, user reviews, a category, and/or other information). The metadata may be used to identify content recommendations based upon the metadata corresponding to terms grouped into a set of refined topic groupings of a graph comprising terms and relationships between terms extracted from a content corpus. The metadata may be matched to relevant terms within the set of refined topic groupings, and content recommendations comprising content corresponding to the relevant terms may be suggested to the user.
Abstract:
Disclosed is a system and method for selectively delivering shared information. The disclosed systems and methods enable a sending user to decide what context of information is to be shared, in that a sending user can determine when and where information is shared. This enables increased social engagement towards relevant information. Additionally, this enables a vast opportunity for commercial opportunities, whereby advertisements can be served contingent upon a consumer's context, and/or only when the product or service offered to the consumer is relevant.