Abstract: A method and apparatus of a device that re-rank a plurality of search results received from a search server on the device is described. In an exemplary embodiment, the device receives, with a browser of the device, a search query from a user. The device further sends the search query to a search server. In addition, the device receives the plurality of search results from the search server, wherein the plurality of search results is ranked according to a first ranking. The device also retrieves browser history of the user, wherein the browser history is collected on the device without revealing the browser history to the search server. The device further re-ranks the plurality of search results according to a second ranking based on at least the browser history. In addition, the device presents the plurality of search results using the second ranking.

Abstract: A method and apparatus of a device that generates a re-ranking model used to re-rank a plurality of search results on a client device is described. In an exemplary embodiment, the device receives a crowd-sourced intra-domain model from a server, where the intra-domain model is a search result re-ranking model generated based on at least device interactions of a plurality of users interacting with a plurality of other devices. The device further generates a re-ranking model from the crowd-sourced intra-domain model and a local model, where the local model includes private data representing a device user's interaction with that device and the re-ranking model is used to re-rank a plurality of search results.

Abstract: A method and apparatus of a device that re-rank a plurality of search results is described. In an exemplary embodiment, the device receives a search query from a user and generates the plurality of search results over a plurality of search domains, wherein the plurality of search results is ranked according to a first ranking. The device additionally generates a re-ranking model, where the re-ranking model includes a plurality of intra-domain models that are generated based on at least based on-device interactions of a plurality of users interacting with a plurality of other devices and each of the plurality of search domains corresponds to one of the plurality of intra-domain models. The device further re-ranks the plurality of search results using the re-ranking model and presents the plurality of search results using the second ranking.

Abstract: A metadata management system receives metadata changes and automatically updates a metadata architecture which maps the data. The metadata changes may be received through a simple user interface by a user or administrator. Once received, the system may automatically update schemas and data transformation code to process data according to the new data mapping preference. The system may handle metadata updates in a multi-tenant system having one or more applications per tenant, and may update data for a single tenant and 1 or more tenant applications in a multitenancy.

Abstract: A method and apparatus of a device that re-rank a plurality of search results is described. In an exemplary embodiment, the device receives a search query from a user and generates the plurality of search results over a plurality of search domains, wherein the plurality of search results is ranked according to a first ranking. The device additionally generates a re-ranking model, where the re-ranking model includes a plurality of intra-domain models that are generated based on at least based on-device interactions of a plurality of users interacting with a plurality of other devices and each of the plurality of search domains corresponds to one of the plurality of intra-domain models. The device further re-ranks the plurality of search results using the re-ranking model and presents the plurality of search results using the second ranking.

Abstract: A method and apparatus of a device that generates a re-ranking model used to re-rank a plurality of search results on a client device is described. In an exemplary embodiment, the device receives a crowd-sourced intra-domain model from a server, where the intra-domain model is a search result re-ranking model generated based on at least device interactions of a plurality of users interacting with a plurality of other devices. The device further generates a re-ranking model from the crowd-sourced intra-domain model and a local model, where the local model includes private data representing a device user's interaction with that device and the re-ranking model is used to re-rank a plurality of search results.

Abstract: A method and apparatus of a device that re-rank a plurality of search results received from a search server on the device is described. In an exemplary embodiment, the device receives, with a browser of the device, a search query from a user. The device further sends the search query to a search server. In addition, the device receives the plurality of search results from the search server, wherein the plurality of search results is ranked according to a first ranking. The device also retrieves browser history of the user, wherein the browser history is collected on the device without revealing the browser history to the search server. The device further re-ranks the plurality of search results according to a second ranking based on at least the browser history. In addition, the device presents the plurality of search results using the second ranking.

Abstract: Described is a system and technique for providing search results in response to a search query for content items. The system may search for content items based on searching metadata associated with the content items. The system may rank the search results based on various criteria to display the search results in an intuitive and relevant manner within a search application. For example, in instances where the search application displays sample text (or a snippet) of the content item as part of a search result, the system may prioritize content items that contain the search query as part of the sample text.

Abstract: An improved system for removing bitumen from tar sands comprises a pretreatment system utilizing a vibratory load hopper for classifying and sizing said tar sand particles communicating with a dryer for heating and drying said tar sand particles to a predetermined temperature thereby controlling the moisture content of said tar sands. An extraction system is also included for accepting said tar sands from the dryer comprising a plurality of extraction vessels arranged in series for transporting said tar sands from a first extraction vessel to a final extraction vessel. Furthermore, a solvent system for supplying a predetermined volume of solvent flow through said extraction vessels is employed, whereby solvent is supplied to the last extraction vessel and a solvent and bitumen mixture is withdrawn from the first extraction vessel.

Abstract: A metadata management system receives metadata changes and automatically updates a metadata architecture which maps the data. The metadata changes may be received through a simple user interface by a user or administrator. Once received, the system may automatically update schemas and data transformation code to process data according to the new data mapping preference. The system may handle metadata updates in a multi-tenant system having one or more applications per tenant, and may update data for a single tenant and 1 or more tenant applications in a multitenancy.

Abstract: A system, method, and machine readable medium are described for providing improved search functionality on a client device.

Abstract: A metadata management system receives metadata changes and automatically updates a metadata architecture which maps the data. The metadata changes may be received through a simple user interface by a user or administrator. Once received, the system may automatically update schemas and data transformation code to process data according to the new data mapping preference. The system may handle metadata updates in a multi-tenant system having one or more applications per tenant, and may update data for a single tenant and 1 or more tenant applications in a multitenancy.

Abstract: A method for metadata capture for screen sharing of a graphical user interface (GUI) screen includes determining by a screen share sending module a region of the GUI screen to be shared; analyzing the GUI screen by a metadata capture module to determine metadata relevant to the region to be shared; and sending a screen share of the region comprising the relevant metadata to a receiver by the screen share sending module.

Abstract: A method for automatic censoring of a graphical user interface (GUI) screen includes receiving a censoring trigger by a censoring module; identifying information present in the GUI screen by a object recognition module; comparing the identified information with a set of preferences stored in a censoring preferences module to determine content to be removed from the GUI screen; and removing the determined content from the GUI screen by the censoring module.

Abstract: A metadata management system receives metadata changes and automatically updates a metadata architecture which maps the data. The metadata changes may be received through a simple user interface by a user or administrator. Once received, the system may automatically update schemas and data transformation code to process data according to the new data mapping preference. The system may handle metadata updates in a multi-tenant system having one or more applications per tenant, and may update data for a single tenant and 1 or more tenant applications in a multitenancy.

Abstract: A method for metadata capture for screen sharing of a graphical user interface (GUI) screen includes determining by a screen share sending module a region of the GUI screen to be shared; analyzing the GUI screen by a metadata capture module to determine metadata relevant to the region to be shared; and sending a screen share of the region comprising the relevant metadata to a receiver by the screen share sending module.

Abstract: A portable hybrid multi-input remote AA battery charger is provided that can recharge as many as four (4) AA batteries at once within 100 minutes. This invention's battery charger for rechargeable batteries can also be powered by a number of the currently available military batteries such as the BA-8180, BA-8140, BA-5590, BA-5390, BB-390, BB-2590, and SP4 batteries. The portable hybrid multi-input remote AA battery charger includes a battery chamber, slots for the AA batteries, a charging circuit, a housing, and a pair of power source connectors. A portable hybrid multi-input remote AA battery charger apparatus and a method for charging AA rechargeable batteries with a portable hybrid multi-input remote AA battery charger are also provided.

Abstract: A portable multi-input remote AA battery charger is provided that can recharge as many as eight (8) AA batteries at once within 100 minutes. This invention's battery charger for rechargeable batteries can also be powered by a number of the currently available military batteries such as the BA-8180, BA-8140, BA-5590, BA-5390, BB-390, BB-2590, and SP4 batteries. The portable multi-input remote AA battery charger includes at least two (2) battery chambers, slots for the AA batteries, a charging circuit, a housing, and a connector. A portable multi-input remote AA battery charger apparatus and a method for charging AA rechargeable batteries with a portable battery charger are also provided.