Abstract:
A platform for managing recommendation models is described. The platform processes and/or facilitates a processing of at least one user identification characteristic associated with at least one device to determine a user identity. The platform further determines at least one communication account active at the at least one device. The platform also causes, at least in part, an association of one or more recommendations models with the user identity, the at least one communication account, the at least one device, or a combination thereof.
Abstract:
An apparatus providing for output of a content package may include a content category selector for receiving a content category selection. A content category extractor may extract the content category selection from a content feed. The apparatus may further comprise a contextual characteristic determiner for determining one or more contextual characteristics. A GPS module may determine a location of the apparatus. The apparatus may thereby provide for selection of a content package based at least in part on the content category selection and the one or more contextual characteristics. The actual selection of the content package may occur in an external device, such as a content category selector. Once the content package is selected, the apparatus may provide for output of the content package such as through displaying the content package on a display.
Abstract:
An apparatus comprising a memory configured to store a routing table and a processor coupled to the memory, the processor configured to generate a request to access at least a section of an instance, assign an index to the request based on the instance, lookup an entry in the routing table based on the index, wherein the entry comprises a resource bit vector, and identify a resource comprising at least part of the section of the instance based on the resource bit vector.
Abstract:
An approach is provided for providing rule-based recommendations. The approach involves a processing of one or more user profile tags, context tags, content tags, channel tags and/or other context information. The approach further involves a determination of one or more weighting factors of one or more of the user profile tags, context tags, content tags, channel tags and other context information. The approach also involves an application of one or more rule sets that bases a determination of a recommendation on the weighting factor. The approach, then, generates one or more recommendations.
Abstract:
An approach is provided for providing recommendations based on preloaded models and for generating user profiles to personalize a user experience with a device or service. A recommendation model platform processes at least one latent user model, at least one latent item model, or a combination thereof associated with a device to determine one or more user preference scores with respect to one or more items. The recommendation platform also processes the one or more user preference scores against one or more thresholds values to determine explicit preference information associated with the one or more items. The recommendation platform also generates at least one user profile associated with the device, a user of the device, or a combination thereof based, at least in part, on the explicit preference information.
Abstract:
An approach is provided for providing recommendations based on a recommendation model and a context-based rule. A recommendation platform receives a request for generating at least one recommendation, the request including at least one user identifier, at least one application identifier, or a combination thereof. Next, the recommendation platform determines at least one recommendation model associated with the at least one user identifier, the at least one application identifier, or a combination thereof. Then, the recommendation platform determines at least one context-based recommendation rule. Then, the recommendation platform processes and/or facilitates a processing of the at least one recommendation model, the at least one context-based recommendation rule, or a combination thereof for generating the at least one recommendation.
Abstract:
An apparatus comprising a chip comprising a plurality of nodes, a first plurality of links connecting the plurality of nodes in a first ring network having a first topology, and a second plurality of links connecting the plurality of nodes in a second ring network having a second topology, wherein the first topology is different than the second topology.
Abstract:
Techniques for identifying network functions include determining first data that indicates a concept represented in content provided by a device. A function provided by a network service is determined based on the first data. In some embodiments, techniques include forming a data structure that associates each function of a plurality of functions provided by a plurality of network services with at least one identifier for a concept.
Abstract:
A method of providing a framework for efficient scanning and session establishment may include receiving vocabulary independent property information indicative of a property request and corresponding setting information of an application associated with a device capable of communication with a network communication environment, determining capabilities of the network communication environment relative to the received property information, and enabling generation of a selected scan function having selected scan parameters based at least in part on the determined capabilities and the property information. A corresponding apparatus and computer program product are also provided.
Abstract:
An apparatus for providing distribution of composite capability information for devices within a distributed network may include at least one processor and at least one memory including computer program code. The memory and the computer program code may be configured to, with the processor, cause the apparatus at least to receive local capability information from a participant device in a distributed network in which the local capability information describes the capabilities of the participant device, combine the local capability information from the participant device with other capability information defining capabilities of other participant devices to produce composite capability information, generate differential information indicating differences between the local capability information and the composite capability information, and provide the differential information to the participant device. A corresponding method and computer program product are also provided.