Disclosed is a method of operating a server, the method including receiving peer status information from at least one peer, estimating a service reception quality of the peer by calculating a download speed of the peer based on the peer status information, identifying a target peer having the service reception quality less than or equal to a predetermined reference, and determining a helper peer to transmit data to the target peer based on the peer status information.

Provided is a system, a server and a method for managing contents based on location grouping. The location-grouping contents management server includes a location grouping management unit for grouping a geographic location into a plurality of grouped locations according to a location grouping algorithm, a contents upload management unit for setting at least one contents upload access according to the plurality of grouped locations, and distributing and assigning at least one contents upload access to at least one contents uploader according to an access distribution algorithm.

A first stream operator can receive a first tuple including a first set of attributes to be stored in a first window and a second tuple including a second set of attributes to be stored in a second window. The first window and the second window can each have an eviction policy. In response to triggering the eviction policy for the first window and the second window, the first tuple stored in the first window can be compared with the second tuple stored in the second window. Based upon the comparing, it can be determined that the first tuple and the second tuple go outside of a join threshold. In response to determining that the first tuple and the second tuple go outside of a join threshold, the eviction policy of the first window can be altered.

In an approach to improving resource downloads, one or more computer processors detect a request to download a resource from an original source to a user's computing device. The one or more computer processors determine a cost of the download of the requested resource from the original source. The one or more computer processors determine whether the cost of the download of the requested resource from the original source exceeds a predefined threshold. The one or more computer processors determine a group of trusted network connected endpoints. The one or more computer processors determine whether the requested resource exists in the group of trusted network connected endpoints. Responsive to determining the requested resource exists in the group of trusted network connected endpoints, the one or more computer processors download the requested resource from at least one of the trusted network connected endpoints.

An information processing apparatus including a data provision unit configured to provide, to a client apparatus, a first template corresponding to a selection request from the client apparatus, and a data processing unit configured to, in the case where a factor included in the first template and a factor included in a second template corresponding to a switching request from the client apparatus are common, associate data associated with the factor included in the first template with the factor included in the second template.

The present disclosure is directed to systems and methods for performing load balancing and message routing by a device intermediary to a plurality of short message peer to peer (SMPP) clients and a plurality of SMPP servers. The device can receive a request from an SMPP client to establish an SMPP session, replace a first sequence identifier in the request with a second sequence identifier generated by the device, and store a mapping of the second sequence identifier to the first sequence identifier. The device can select an SMPP server to forward the request with the second sequence identifier and receive a response from the SMPP server with the second sequence identifier. The device can identify, from the mapping, the first sequence identifier and the connection to the SMPP client using the second sequence identifier to forward the SMPP response with the first sequence identifier.

The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.

Verification of peer-to-peer network transmission occurs implementing AI to determine a match between the purpose/intent of the peer-to-peer network transmission as defined by the sending entity/peer and the purpose/intent of the peer-to-peer network transmission as defined by the recipient entity/peer. The sending peer initiates communication of a peer-to-peer network transmission, which identifies the recipient peer and purpose of the transmission. The peer-to-peer network transmission is captured and held in a transmission pending queue. A push notification is communicated to the recipient entity/peer identified in the transmission, which requests input of their perceived purpose/intent of the transmission. Once the recipient entity/peer identified in the transmission responds with their purpose of the transmission, an AI model trained to determined matches between inputted purposes/intents is executed. Once the AI model determines a purpose/intent match, the transmission is released for the transmission pending queue, so that further communication and/or processing of the transmission occurs.

Verification of peer-to-peer network transmission occurs implementing AI to determine a match between the purpose/intent of the peer-to-peer network transmission as defined by the sending entity/peer and the purpose/intent of the peer-to-peer network transmission as defined by the recipient entity/peer. The sending peer initiates communication of a peer-to-peer network transmission, which identifies the recipient peer and purpose of the transmission. The peer-to-peer network transmission is captured and held in a transmission pending queue. A push notification is communicated to the recipient entity/peer identified in the transmission, which requests input of their perceived purpose/intent of the transmission. Once the recipient entity/peer identified in the transmission responds with their purpose of the transmission, an AI model trained to determined matches between inputted purposes/intents is executed. Once the AI model determines a purpose/intent match, the transmission is released for the transmission pending queue, so that further communication and/or processing of the transmission occurs.

The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.