Abstract: A processor(s) receives a profile of a user and ranks physical activities in a relational data structure based on the user profile to create a customized relational data structure of ranked physical activities for the user. The relational data structure maps physical activities to one or more associated attributes. An activity adviser model is produced specific to the user via machine learning by obtaining data related to physical activities performed by the user from one or more sensors, and receiving user wellness-related feedback related to the user-performed physical activities. The user wellness-related feedback includes a user ranking of one or more aspects of the user-performed physical activities. The activity adviser model specific to the user is built by using the customized relational data structure, the data and the user wellness-related feedback. The processor(s) uses the activity adviser model to provide an activity-related recommendation to the user.

Abstract: A processor(s) receives a profile of a user and ranks physical activities in a relational data structure based on the user profile to create a customized relational data structure of ranked physical activities for the user. The relational data structure maps physical activities to one or more associated attributes. An activity adviser model is produced specific to the user via machine learning by obtaining data related to physical activities performed by the user from one or more sensors, and receiving user wellness-related feedback related to the user-performed physical activities. The user wellness-related feedback includes a user ranking of one or more aspects of the user-performed physical activities. The activity adviser model specific to the user is built by using the customized relational data structure, the data and the user wellness-related feedback. The processor(s) uses the activity adviser model to provide an activity-related recommendation to the user.

Abstract: A computer implemented method, apparatus, and computer program product for generating a customized dependency library for use by an application. Execution of the application is monitored. Each dependency used by the application is identified during execution of the application. A customized dependency library is generated for the application containing only the dependencies used by the application.

Abstract: A commerce site for exchanging commerce information with a plurality of remote store sites and shopper clients over a network, the commerce site including a marketplace store for exchanging information with shopper clients and remote store sites through the network; and a plurality of proxy stores, each proxy store associated with one of the remote store sites for communicating therewith over the network and acting as an intermediary for information exchanged between the associated remote store site and the marketplace store.

Abstract: A commerce site for exchanging commerce information with a plurality of remote store sites and shopper clients over a network, the commerce site including a marketplace store for exchanging information with shopper clients and remote store sites through the network; and a plurality of proxy stores, each proxy store associated with one of the remote store sites for communicating therewith over the network and acting as an intermediary for information exchanged between the associated remote store site and the marketplace store.

Abstract: The invention provides a method for communication between a plurality of stations in a communication network using media access protocol, in which medium access is granted to stations obtaining a successful reservation of the medium and in which data transmission verification is performed by the protocol within the reservation. In the method a station sends a request message on the communication medium for a reservation of the medium to a recipient station in the network. The recipient station sends a reservation confirmation message back to the sending station which receives it and responds to the reservation confirmation message by sending an ordered sequence of data frames to the recipient station. After sending the ordered sequence of data frames the sending station sends an end of transmission message to the recipient station, which replies by sending back an end of transmission confirmation identifying the number of frames received in their original sequence.