A data management services architecture includes architectural components that run in both a storage and compute domains. The architectural components redirect storage requests from the storage domain to the compute domain, manage resources allocated from the compute domain, ensure compliance with a policy that governs resource consumption, deploy program code for data management services, dispatch service requests to deployed services, and monitor deployed services. The architectural components also include a service map to locate program code for data management services, and service instance information for monitoring deployed services and dispatching requests to deployed services. Since deployed services can be stateless or stateful, the services architecture also includes state data for the stateful services, with supporting resources that can expand or contract based on policy and/or service demand. The architectural components also include containers for the deployed services.

An electronic communication system, such as a question-and-answer service, is provided in which a user submitting a question specifies one or more dialog network members to whom a notification of the question is provided. Authenticated responses by a member are published to the asker and other members. Responses may be made available to external users, with content contributors being either publicly identified or anonymous. If authorized, members of a dialog may add other individuals as members of the dialog, and imbue upon them special rights relative to the dialog.

A computer-implemented method for generating content recommendations for content items, each content item associated with one of a plurality of customers, the method comprising: receiving, by a network-connected server, a content request from a requesting user, the content request comprising a user identifier and a customer identifier; retrieving request parameters from a computer-implemented parameter service, the request parameters comprising indicia of a plurality of models and parameters for the models; retrieving user data comprising a set of indicia of recommendable resources associated with the customer identifier; routing the content request, request parameters and user data to a plurality of ranking and optimization component, each component generating a recommendation score for each recommendable resource; generating content recommendations based on the recommendation score which content recommendations are returned to the requesting user and stored by the server as a recommendation event within a repository of recommendation events; evaluating the relative efficacy of the one or more components, which models are returned to the requesting user and stored by the server as a recommendation event within a repository of recommendation events; evaluating the relative efficacy of the one or more components through continued usage; optimizing model efficacy by updating parameters within the parameter service based on the relative efficacy.

A computer-implemented method for generating content recommendations for content items, each content item associated with one of a plurality of customers, the method comprising: receiving, by a network-connected server, a content request from a requesting user, the content request comprising a user identifier and a customer identifier; retrieving request parameters from a computer-implemented parameter service, the request parameters comprising indicia of a plurality of models and parameters for the models; retrieving user data comprising a set of indicia of recommendable resources associated with the customer identifier; routing the content request, request parameters and user data to a plurality of ranking and optimization component, each component generating a recommendation score for each recommendable resource; generating content recommendations based on the recommendation score which content recommendations are returned to the requesting user and stored by the server as a recommendation event within a repository of recommendation events; evaluating the relative efficacy of the one or more components, which models are returned to the requesting user and stored by the server as a recommendation event within a repository of recommendation events; evaluating the relative efficacy of the one or more components through continued usage; optimizing model efficacy by updating parameters within the parameter service based on the relative efficacy.

A method includes receiving one or more social networking updates, identifying update information corresponding to each of the one or more social networking updates, wherein update information includes at least user information, interaction information, and time information, calculating a prioritization score for each of the one or more social networking updates according to the identified update information, prioritizing the one or more updates based on the calculated prioritization scores, and displaying the one or more updates according to the prioritization. A computer program product and computer system corresponding to the method are also disclosed.

The present invention relates to a method, computer system, and computer program product for data processing based on a response strategy. According to the method, a performance value of a server is determined in response to receiving at least one request to the server. A response strategy for the at least one request is determined based on the determined performance value. At least one response is provided to the at least one request according to the determined response strategy.

The present invention relates to a method, computer system, and computer program product for data processing based on a response strategy. According to the method, a performance value of a server is determined in response to receiving at least one request to the server. A response strategy for the at least one request is determined based on the determined performance value. At least one response is provided to the at least one request according to the determined response strategy.

A node in a content delivery network (CDN) receives a request for content and determines information about the request. When sufficient information about the content is determined, the request is assigned to an appropriate CD service to process the request; and when insufficient information about the content is determined, the request is assigned to a generic CD service to process the request. The generic CD service processes the request; and provides updated information about the content to be used for processing future requests. An appropriate CD service processing a request may also provide updated information about the content to be used for processing future requests.

A node in a content delivery network (CDN) receives a request for content and determines information about the request. When sufficient information about the content is determined, the request is assigned to an appropriate CD service to process the request; and when insufficient information about the content is determined, the request is assigned to a generic CD service to process the request. The generic CD service processes the request; and provides updated information about the content to be used for processing future requests. An appropriate CD service processing a request may also provide updated information about the content to be used for processing future requests.

The present disclosure relates to systems and methods for displaying vehicle information for an on-demand service. The method may include sending a request for on-demand service to a server. The method may further include obtaining information of a vehicle related to the request for on-demand service. The information of the vehicle may include color information of the vehicle. The method may further include generating, by a processor, a user interface based on the information of the vehicle. The user interface may include at least one user interface element corresponding to the color information of the vehicle.