Abstract: The invention relates to a method for exchange of information between a computing unit of a first entity and a computing unit of at least one second entity. A computing unit of at least one second entity is detected and information on a token associated to the second entity from the computing unit is requested and received. On the basis of the received information, the token associated to the at least one second entity, is retrieved and a token associated to the first entity is modified at least partly with information of the received token associated to the at least one second entity. Finally, the modified token is utilized at least in the service the computing unit of the first entity belongs to. The invention relates also to a system and a computing unit implementing the method.

Abstract: Recommendation system based on the actions of a group of users, and not requiring prior metadata, is provided. The recommendation is not limited to from user-to-item (e.g. media recommendation) type; e.g. from user-to-user (e.g. social networking), from item-to-item (e.g. “see also” in internet shopping) and item-to-user (e.g. advertizing) recommendations are supported. The solution utilizes a set of identifiable tokens, associated with each entity, an entity being either a user or an item. Whenever there is an interaction between entities, either existing token sets are updated or new token sets are created such that after an interaction each interacting entity is associated with a token set which resembles more than before the token set(s) associated with the other interacting entity. Recommendation can be produced by searching best matching token sets on the user-to-item, user-to-user, from item-to-item or item-to-user basis.

Abstract: Method (400) for managing a plurality of digital token sets (202, 202b, 202c), wherein each digital token set comprises a plurality of tokens (203) and is associated with a digital item available for access via an e-service, wherein the digital tokens are identifiable elements of substantially no semantic value and interaction between a user-related token set and item-related token set involves adapting both token sets based on the token set of the other party of the interaction, comprises obtaining a first plurality of token sets associated with a corresponding plurality of digital items (300), distributing (304) said first plurality of token sets among a second plurality of at least computationally separate but communications-wise connected, functionally parallel partial repositories (202, 204, 206), wherein said second plurality is smaller than the first plurality, the partial repositories establishing a greater joint, distributed repository, wherein said distributing comprises utilization of a predefined

Abstract: Method (501) for adapting an obtained digital first token set comprising a plurality of tokens, the first token set being associated with a first entity, such as a user of an electronic device, wherein tokens are identifiable elements of substantially no semantic value, the first token set being maintained between and updated responsive to interactions between the first entity and one or more other entities, the token sets of which are also updated based on the interactions, said method comprising detecting interaction (504, 514) between the first entity and another entity, optionally a digital media element such as a web site, web page or a digital resource accessible therethrough, a second token set being associated with the second entity, determining at least one control value (506) regarding the first token set based on the interaction, wherein interaction feedback or interaction frequency is configured to affect said at least one control value, and altering the construction of the first token set (508) i

Abstract: Recommendation system based on the actions of a group of users, and not requiring prior metadata, is provided. The recommendation is not limited to from user-to-item (e.g. media recommendation) type; e.g. from user-to-user (e.g. social networking), from item-to-item (e.g. “see also” in internet shopping) and item-to-user (e.g. advertizing) recommendations are supported. The solution utilizes a set of identifiable tokens, associated with each entity, an entity being either a user or an item. Whenever there is an interaction between entities, either existing token sets are updated or new token sets are created such that after an interaction each interacting entity is associated with a token set which resembles more than before the token set(s) associated with the other interacting entity. Recommendation can be produced by searching best matching token sets on the user-to-item, user-to-user, from item-to-item or item-to-user basis.

Abstract: The invention relates to a method for exchange of information between a computing unit of a first entity and a computing unit of at least one second entity. A computing unit of at least one second entity is detected and information on a token associated to the second entity from the computing unit is requested and received. On the basis of the received information, the token associated to the at least one second entity, is retrieved and a token associated to the first entity is modified at least partly with information of the received token associated to the at least one second entity. Finally, the modified token is utilized at least in the service the computing unit of the first entity belongs to. The invention relates also to a system and a computing unit implementing the method.

Abstract: Prior to printing a plurality of measuring points are specified from the digital presentation of the page original on the basis of given initial data. The initial data for the measuring points are set so that at least two measuring points are locating points on the basis of which the other measuring points can be located. The other initial data are set according to what one desires to measure on the printed page. Thereafter, the locating points and other specified measuring points are sought in the digital presentation of the page original; and the measuring point data are entered in the printing quality measuring unit. The results of measurement from the measuring points are compared with the measuring point data from the digital presentation of the page original, or the objective values, and the results of comparison are used to adjust the printing machine.