Abstract: A computer-implemented method includes providing a first mapping between a set of two or more IP addresses and a set of two more servers. The first mapping is embodied in a virtual network layer modifiable by a workload advisor based on a weight recommendation. A plurality of transactions are received from a load balancer. The weight recommendation for the servers is received, where the weight recommendation defines a goal for weighting transactions among the servers. A second mapping, from the two or more IP addresses to the servers, is determined dynamically by the workload advisor, based on the weight recommendation and absent communication between the load balancer and the workload advisor. A second plurality of transactions are received and are routed to the servers through the virtual network layer according to the second mapping.

Abstract: A computer-implemented method includes providing a first mapping between a set of two or more IP addresses and a set of two more servers. The first mapping is embodied in a virtual network layer modifiable by a workload advisor based on a weight recommendation. A plurality of transactions are received from a load balancer. The weight recommendation for the servers is received, where the weight recommendation defines a goal for weighting transactions among the servers. A second mapping, from the two or more IP addresses to the servers, is determined dynamically by the workload advisor, based on the weight recommendation and absent communication between the load balancer and the workload advisor. A second plurality of transactions are received and are routed to the servers through the virtual network layer according to the second mapping.

Abstract: In an exemplary embodiment, a computer-implemented method includes providing a mapping between a set of two or more IP addresses and a set of two more servers. A weight recommendation for the servers is received, based at least in part on server data related to current states of the servers, where the weight recommendation represents a goal for distributing a plurality of transactions among the servers. The mapping is modified based at least in part on the weight recommendation. A transaction is received, directed toward a first IP address of the two or more IP addresses. The transaction is routed to a first server, of the two or more servers, associated with the first IP address according to the modified mapping.

Abstract: In an exemplary embodiment, a computer-implemented method includes providing a mapping between a set of two or more IP addresses and a set of two more servers. A weight recommendation for the servers is received, based at least in part on server data related to current states of the servers, where the weight recommendation represents a goal for distributing a plurality of transactions among the servers. The mapping is modified based at least in part on the weight recommendation. A transaction is received, directed toward a first IP address of the two or more IP addresses. The transaction is routed to a first server, of the two or more servers, associated with the first IP address according to the modified mapping.

Abstract: In one embodiment, a computer-implemented method includes receiving a plurality of tasks to be assigned to a plurality of subgroups of virtual servers. A first plurality of the tasks is assigned to a first subgroup, where the first subgroup includes two or more virtual servers. For each of the first plurality of tasks assigned to the first subgroup, a virtual server is selected within the first subgroup, and the task is assigned to the selected virtual server. A first virtual server is migrated, by a computer processor, from the first subgroup of virtual servers to a second subgroup of virtual servers, if at least one predetermined condition is met, where the migration maintains in the first subgroup at least one of the first plurality of tasks assigned to the first subgroup.

Abstract: Embodiments of the disclosure relate to performing correction on incoming messages. Embodiments include receiving a message from a sender and determining if a portion of the message has been auto-corrected by the sender. Embodiments also include performing a correction on the portion of the message that was auto-corrected by the sender and storing the correction made by the receiver for each individual sender.

Abstract: Embodiments of the disclosure relate to performing correction on incoming messages. Embodiments include receiving a message from a sender and determining if a portion of the message has been auto-corrected by the sender. Embodiments also include performing a correction on the portion of the message that was auto-corrected by the sender and storing the correction made by the receiver for each individual sender.

Abstract: In an exemplary embodiment, a computer-implemented method includes providing a mapping between a set of two or more IP addresses and a set of two more servers. A weight recommendation for the servers is received, based at least in part on server data related to current states of the servers, where the weight recommendation represents a goal for distributing a plurality of transactions among the servers. The mapping is modified based at least in part on the weight recommendation. A transaction is received, directed toward a first IP address of the two or more IP addresses. The transaction is routed to a first server, of the two or more servers, associated with the first IP address according to the modified mapping.

Abstract: Embodiments of the disclosure relate to performing correction on incoming messages. Embodiments include receiving a message from a sender and determining if a portion of the message has been auto-corrected by the sender. Embodiments also include performing a correction on the portion of the message that was auto-corrected by the sender and storing the correction made by the receiver for each individual sender.

Abstract: Embodiments of the disclosure relate to performing correction on incoming messages. Embodiments include receiving a message from a sender and determining if a portion of the message has been auto-corrected by the sender. Embodiments also include performing a correction on the portion of the message that was auto-corrected by the sender and storing the correction made by the receiver for each individual sender.

Abstract: Embodiments of the disclosure relate to providing auto-correction feedback in a messaging application. Embodiments include receiving a message from a sender and selecting a portion of the message for clarification. Embodiments also include creating a proposed modification to the message and transmitting the proposed modification to the message to the sender. Embodiments further include receiving a response from the sender regarding the proposed modification.

Abstract: Embodiments of the disclosure relate to performing correction on incoming messages. Embodiments include receiving a message from a sender and determining if a portion of the message has been auto-corrected by the sender. Embodiments also include performing a correction on the portion of the message that was auto-corrected by the sender and storing the correction made by the receiver for each individual sender.

Abstract: In one embodiment, a computer-implemented method includes receiving a plurality of tasks to be assigned to a plurality of subgroups of virtual servers. A first plurality of the tasks is assigned to a first subgroup, where the first subgroup includes two or more virtual servers. For each of the first plurality of tasks assigned to the first subgroup, a virtual server is selected within the first subgroup, and the task is assigned to the selected virtual server. A first virtual server is migrated, by a computer processor, from the first subgroup of virtual servers to a second subgroup of virtual servers, if at least one predetermined condition is met, where the migration maintains in the first subgroup at least one of the first plurality of tasks assigned to the first subgroup.

Abstract: In an exemplary embodiment, a computer-implemented method includes identifying at least a portion of an image as a taggable product appearing in the image. A tag is generated, by a computer processor, for the taggable product. The tag is associated with the identified portion of the image and includes information about the taggable product, where generating the tag converts the taggable product into a tagged product. A first ad is prioritized over a plurality of other ads for display on a web page in conjunction with the image, where the prioritization is based at least in part on the first ad being related to the tagged product.

Abstract: In an exemplary embodiment, a computer-implemented method includes receiving a photo showing a taggable object, wherein the taggable object is a purchasable object that has not yet been identified. First purchase data is collected related to past purchases of a first user associated with the photo. The first purchase data is compared to the taggable object to determine whether one or more purchased items potentially match the taggable object. A set of potential matches is generated, by a computer processor, based at least in part on comparing the first purchase data to the taggable object. The taggable object is tagged in the photo with an identifier representing at least one of the potential matches.

Abstract: In an exemplary embodiment, a computer-implemented method includes receiving a photo showing a taggable object, wherein the taggable object is a purchasable object that has not yet been identified. First purchase data is collected related to past purchases of a first user associated with the photo. The first purchase data is compared to the taggable object to determine whether one or more purchased items potentially match the taggable object. A set of potential matches is generated, by a computer processor, based at least in part on comparing the first purchase data to the taggable object. The taggable object is tagged in the photo with an identifier representing at least one of the potential matches.

Abstract: In an exemplary embodiment, a computer-implemented method includes identifying at least a portion of an image as a taggable product appearing in the image. A tag is generated, by a computer processor, for the taggable product. The tag is associated with the identified portion of the image and includes information about the taggable product, where generating the tag converts the taggable product into a tagged product. A first ad is prioritized over a plurality of other ads for display on a web page in conjunction with the image, where the prioritization is based at least in part on the first ad being related to the tagged product.

Abstract: In an exemplary embodiment, a computer-implemented method includes providing a mapping between a set of two or more IP addresses and a set of two more servers. A weight recommendation for the servers is received, based at least in part on server data related to current states of the servers, where the weight recommendation represents a goal for distributing a plurality of transactions among the servers. The mapping is modified based at least in part on the weight recommendation. A transaction is received, directed toward a first IP address of the two or more IP addresses. The transaction is routed to a first server, of the two or more servers, associated with the first IP address according to the modified mapping.

Abstract: Embodiments of the disclosure relate to providing auto-correction feedback in a messaging application. Embodiments include receiving a message from a sender and selecting a portion of the message for clarification. Embodiments also include creating a proposed modification to the message and transmitting the proposed modification to the message to the sender. Embodiments further include receiving a response from the sender regarding the proposed modification.

Abstract: Embodiments of the disclosure relate to performing correction on incoming messages. Embodiments include receiving a message from a sender and determining if a portion of the message has been auto-corrected by the sender. Embodiments also include performing a correction on the portion of the message that was auto-corrected by the sender and storing the correction made by the receiver for each individual sender.