A9.com, Inc.

Supplemental content can be determined through a server-side process, wherein a primary content provider can obtain the supplemental content from a supplemental content provider before any of the content is sent to the client device initially requesting the primary content. A primary content provider submits a request that can include an authorization token for the primary content provider, a publisher token including a proxy identifier for the user, application, or client device, and other relevant information. The supplemental content provider can verify the information and select targeted content based on the information. The supplemental content can then be provided to the primary content provider for incorporation with the primary content. The primary content provider can adjust the layout or selection before sending to the client device for display.

Supplemental content can be determined through a server-side process, wherein a primary content provider can obtain the supplemental content from a supplemental content provider before any of the content is sent to the client device initially requesting the primary content. A primary content provider submits a request that can include an authorization token for the primary content provider, a publisher token including a proxy identifier for the user, application, or client device, and other relevant information. The supplemental content provider can verify the information and select targeted content based on the information. The supplemental content can then be provided to the primary content provider for incorporation with the primary content. The primary content provider can adjust the layout or selection before sending to the client device for display.

Systems and methods are disclosed for refining the accuracy of network searches by supplementing existing keywords and key phrases in an e-commerce catalog or other database with aggregated and analyzed additional, external data. The internet or another network can be crawled for identifiers which point to entries in the catalog or other database, and, subject to third-party use restrictions, data and metadata can be extracted to enrich the existing keywords and key phrases. The extracted external content may be processed by machine learning techniques in order to find similar entries in the original catalog or database. Categorizing and indexing the entries further improves search recall, including clustering via processing word embeddings.

A method for network configuration sharing includes receiving a home network configuration associated with a user, identifying an away network, and modifying the configuration of the away network based on the configuration of the home network.

A system and method are provided that present users with a platform to complete and self-file customs entry forms for goods transported across an international border, wherein the system and method enable the user to resolve a flagged exception from a customs agency through an automated computerized response or by using customs-broker resources via the digital network. The system further enables a user to validate submitted and cleared custom entry forms by setting parameters to dictate a level of auditing conducted by customs-broker resources. As such, users can readily complete and file the necessary customs entry forms while maintaining customs-broker resources on the back-end for selective auditing and resolving issues with a customs agency, thereby lowering associated overhead costs through a reduced dependency on customs-broker resources.

System and methods are provided that can address cold-start problems in database keyword searches. The search system generates machine-learned values for new items based on historical signals for already existing items. These initial values are generated at the time of new item's inclusion in the search index. The values are used as input in a ranking model to rank search results for a user query. The initial values for the new items predict user engagement with the new items based on historical data for existing items and increase the visibility of new items to accumulate user interaction data for the new items.

Various embodiments provide for determining problematic components of an application that may cause user experience issues when running the application, and preemptively turning off or disabling the problematic components so that the application is rendered without the problematic component. When a component is rendered, various runtime data is produced. Such data may be logged and analyzed, and used to generate performance metrics of the component. Such performance metrics can be used to determine whether a component should be disabled. When a component is disabled, it become unavailable and will be excluded from the application when the application is rendered and/or served to a user. Thus, when an application is rendered or served, only available or enabled components are included.

Techniques for improving the visualization of content with a mixed reality (MR) device are described. One techniques includes monitoring a gaze of a user of a MR device through one or more displays of the MR device. A convergence distance of the gaze of the user is determined based on the monitoring. A selection between a first projection mode and a second projection to display content on the one or more displays is made based on whether the convergence distance exceeds a threshold distance from the user. Content is displayed on the one or more displays, based on the selection.

Devices, systems, and methods are provided for real-time object placement guidance in augmented reality experience. An example method may include receiving, by a device having a sensor, an indication of an object to be viewed in an physical environment of the device. The example method may also include determining a 3D model of the physical environment using data of the physical environment captured by the sensor. The example method may also include determining that a first surface in the 3D model of the environment is a first floor space, and a second surface in the 3D model of the environment is a first wall space. The example method may also include determining that a portion of the first surface is unoccupied and sized to fit the object. The example method may also include determining a first location in the 3D model of the physical environment for placement of a virtual representation of the object based on a 3D model of the object, wherein the first location corresponds to the portion of the first floor space. The example method may also include generating the virtual representation of the object for display at the first location, the virtual representation of the object having a first orientation, wherein the first orientation is based on a second orientation of the second surface. The example method may also include generating a first real-time view of the physical environment comprising the virtual representation of the object within the portion of the first location and in the first orientation. In some cases, a real-time virtual overlay may also be generated in the physical environment, the real-time virtual overlay indicating a location of a floor space in the physical environment.

Embodiments of the present invention provide improved techniques for determining long term relevance and user behavior using query chains. The query chains may first be detected and then annotated into different types of chains based at least in part on various decision rules, machine-learned classifiers, and inter-query relationships. The query chains may then be subsequently used to train models for predicting user behavior and providing more relevant results to a user's queries. A content provider system according to various embodiments may aggregate historical data associated with previous search and/or transaction data, which may be analyzed to detect query chains, for example, whether queries are chained to each other. Determining whether queries are chained to each other may involve incorporating decision rules and reformulation models, analyzing temporal windows between queries, and/or analyzing inter-query relationships.