Abstract: The disclosure relates to a search method and system and, in particular, to a search method and system for identifying similar data objects (“peers”) based on one of more input data objects. The system iteratively searches a global model and a database based on user feedback in order to identify similar data objects to the input data object(s).

Abstract: There is provided a client adapted for generating personalized cold-start federated recommendations for a user of the client. The client generates personalized recommendations for three cold-start scenarios, namely i) recommendation of an item to a new user which does not have any history of user-item interactions, ii) recommendation of a new item to a set of the most prospective users where the item has no history, and iii) recommendation of a new item to a new user, where there is no history associated with either the user or the item. The client uses a federated multi-view matrix factorization method to generate cold-start recommendations without transferring users' personal data to a remote server. Further, a server and a content provider for assisting in generating the personalized cold-start recommendations are provided in a federated set-up according to some aspects.

Abstract: The dynamic probability admission control policy for distributed video provides a method that decides in a Video on Demand (VOD) system which content requests can be admitted and which requests should be rejected to maintain Quality of Service (QoS). Requests for popular and expensive movies should not be rejected on the behalf of unpopular movies to generate more revenue. The dynamic probability admission control policy combines a shared resource admission control and a class-based admission control. Moreover, dynamic probability is used to access shared resources, such as ports and bandwidth. A nonlinear dynamic probability function is used for allocation of ports/bandwidth. The dynamic probability admission control policy improves performance of all the request classes, as well as overall system performance.

Abstract: The dynamic probability admission control policy for distributed video provides a method that decides in a Video on Demand (VOD) system which content requests can be admitted and which requests should be rejected to maintain Quality of Service (QoS). Requests for popular and expensive movies should not be rejected on the behalf of unpopular movies to generate more revenue. The dynamic probability admission control policy combines a shared resource admission control and a class-based admission control. Moreover, dynamic probability is used to access shared resources, such as ports and bandwidth. A nonlinear dynamic probability function is used for allocation of ports/bandwidth. The dynamic probability admission control policy improves performance of all the request classes, as well as overall system performance.