Abstract: Particular embodiments may detect, by a core network, a change in network traffic types from a first network traffic type to a second network traffic type. The core network includes one or more network functionality components. Each of the one or more network functionality components is decomposed into multiple service types. The core network may determine several service instances for deployment in response to the change in the network traffic types. Each of the service instances may belong to one of the multiple decomposed service types. The core network may deploy several service instances to one or more server machines of the core network according to a decomposed service type of a respective service instance.

Abstract: Particular embodiments may detect, by a core network, a change in network traffic types from a first network traffic type to a second network traffic type. The core network includes one or more network functionality components. Each of the one or more network functionality components is decomposed into multiple service types. The core network may determine several service instances for deployment in response to the change in the network traffic types. Each of the service instances may belong to one of the multiple decomposed service types. The core network may deploy several service instances to one or more server machines of the core network according to a decomposed service type of a respective service instance.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify service instances for deployment based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The service instances may be deployed to one or more server machines to accomplish the task by the core network based on resource requirements of the service instances and current resource availability of the one or more server machines.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify service instances for deployment based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The service instances may be deployed to one or more server machines to accomplish the task by the core network based on resource requirements of the service instances and current resource availability of the one or more server machines.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify a sequence of a service instances based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The sequence of service instances may be scheduled for deployment to accomplish the task by the core network. The core network may deploy the sequence of the service instances to one or more server machines of the core network.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify a sequence of a service instances based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The sequence of service instances may be scheduled for deployment to accomplish the task by the core network. The core network may deploy the sequence of the service instances to one or more server machines of the core network.

Abstract: Particular embodiments may communicate to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may receive a user task associating with service instances. Each of the service instances may belong to one of the multiple decomposed service types and be configured by a service chaining orchestration entity. The service instances may be deployed to one or more of server machines of the core network with respect to the configurations of the service instances, by a service chaining orchestration entity. The capacity of the core network may be scaled up or down by network dimensioning.

Abstract: Particular embodiments may communicate to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may receive a user task associating with service instances. Each of the service instances may belong to one of the multiple decomposed service types and be configured by a service chaining orchestration entity. The service instances may be deployed to one or more of server machines of the core network with respect to the configurations of the service instances, by a service chaining orchestration entity. The capacity of the core network may be scaled up or down by network dimensioning.

Abstract: Method and system for generating personalizing website layout. The method and system monitors a user's behaviors and assigns a user to a user group, which has an assigned personalized template. The templates are personalized in response to the user's behaviors and arranges content to be displayed to the user based on that behavior.

Abstract: Briefly, embodiments disclosed herein may relate to generating signals and/or states representative of a template for a web page. One or more areas of a template may be associated with a respective one or more entities of a web page publisher, and content for the one or more areas associated with the one or more entities may be selected.

Abstract: Methods and apparatus for executing an application are disclosed. In accordance with one embodiment, a request is received. One or more of a plurality of module types are instantiated such that a plurality of module objects are generated. A query plan linking the plurality of module objects is executed such that a response to the request is generated. The response is then returned.

Abstract: Embodiments disclosed herein may relate to producing a layout for a web page.

Abstract: A computer-implemented system and methods of re-ranking sponsored search results by a search engine in response to a search query include: retrieving one or more organic search results and a plurality of sponsored search results (“search results”), along with their respective rankings, associated with a search query; determining a degree of association between each sponsored search result and the other search results through analyzing web links between the plurality of sponsored search results, the one or more organic search results, and other web documents to or from which the search results are at least indirectly linked; re-ranking the plurality of sponsored search results based on the degree of association between each respective sponsored search result and the other search results; and storing in memory the plurality of re-ranked sponsored search results in relation to the search query.

Abstract: Method and system for generating personalizing website layout. The method and system monitors a user's behaviors and assigns a user to a user group, which has an assigned personalized template. The templates are personalized in response to the user's behaviors and arranges content to be displayed to the user based on that behavior.

Abstract: A computer-implemented system and methods of re-ranking sponsored search results by a search engine in response to a search query include: retrieving one or more organic search results and a plurality of sponsored search results (“search results”), along with their respective rankings, associated with a search query; determining a degree of association between each sponsored search result and the other search results through analyzing web links between the plurality of sponsored search results, the one or more organic search results, and other web documents to or from which the search results are at least indirectly linked; re-ranking the plurality of sponsored search results based on the degree of association between each respective sponsored search result and the other search results; and storing in memory the plurality of re-ranked sponsored search results in relation to the search query.

Abstract: A computer-implemented system and methods of re-ranking sponsored search results by a search engine in response to a search query include: retrieving one or more organic search results and a plurality of sponsored search results (“search results”), along with their respective rankings, associated with a search query; determining a degree of association between each sponsored search result and the other search results through analyzing web links between the search results and other web documents to or from which the search results are at least indirectly linked; calculating a clustering score for each sponsored search result based on their respective degrees of linking association; generating a new ranking score for each sponsored search result based on their respective clustering scores and rankings; and re-ranking, and storing in memory, the plurality of sponsored search results based on the new ranking scores of each respective sponsored search result.

Abstract: Methods and apparatus for executing an application are disclosed. In accordance with one embodiment, a request is received. One or more of a plurality of module types are instantiated such that a plurality of module objects are generated. A query plan linking the plurality of module objects is executed such that a response to the request is generated. The response is then returned.

Abstract: A hierarchical category system for organizing and displaying electronic advertisements is disclosed. Each electronic advertisement is assigned one or more categories from a hierarchical categorization system. Similarly, each available advertisement placement location is also provided with a category from the hierarchical categorization, system. Then, when displaying advertisements, the system attempts to locate advertisements that have matching categorizations. When no matching advertisement with an exact matching categorization can be found, the system will attempt to locate an advertisement from a more specific (child) category that is a sub category of the current category. However, the advertisement from the more specific (child) category must specify the broader category within its own allowable fall-back path.

Abstract: The present invention provides for enhanced search results in response to a search request based on a search term. The enhanced search results generate a search results page including a plurality of document identifiers including a hyperlink and an abstract, each abstract including a plurality of abstract terms. The method and apparatus, upon receipt of the search request, accesses a relevancy factor database that includes relevancy factors. The relevancy factors are determined by accessing feedback logs for search results based on the same search term, calculating a popularity factor for each of the plurality of phrases in the abstracts and user selection activity and relevancy factors are based on the popularity factors. Thereby, the method and apparatus generates the search results page with the sequence of the document identifiers based on the relevancy factors.

Abstract: A computer-implemented system and methods of re-ranking sponsored search results by a search engine in response to a search query include: retrieving one or more organic search results and a plurality of sponsored search results (“search results”), along with their respective rankings, associated with a search query; determining a degree of association between each sponsored search result and the other search results through analyzing web links between the search results and other web documents to or from which the search results are at least indirectly linked; calculating a clustering score for each sponsored search result based on their respective degrees of linking association; generating a new ranking score for each sponsored search result based on their respective clustering scores and rankings; and re-ranking, and storing in memory, the plurality of sponsored search results based on the new ranking scores of each respective sponsored search result.