Nokia Technologies Oy

Nokia Corporation

Nokia Siemens Networks Oy

Mikko Lonnfors

Mikko Terho

Istvan Beszteri

Eki Monni

Minna Hellstrom

Krisztian Kiss

Juha Kalliokulju

Leo Karkkainen

Eva-Maria Leppänen

Jari P Kinnunen

Christopher Bouret

Remeres Jacobs

Pekka A Kuismanen

Krisztain Kiss

A communication system includes at least one user with which presence information is associated and at least one entity to which presence information associated with the at least one user is provided. The presence information includes a plurality of parts with at least one of the parts including information identifying an application for which said at least one part is intended. The at least one entity has at least one entity application. The at least one entity is arranged to use said information to obtain the at least one part intended for the at least one entity application.

User presence information communication system

Co-occurrence data representing e.g. preferences and facts observed in a plurality of situations may be stored in a matrix as combinations of high-dimensional sparse vectors. The matrix may be called e.g. as an experience matrix. The data stored in the experience matrix may be subsequently utilized e.g. for predicting a preference of a user in a new situation. Co-occurrence data may be stored in the experience matrix may be updated by a method comprising determining a first word based on a state of a system and/or based on a physical quantity detected by a sensor, forming a first word group comprising the first word and a second word, associating the first word and the second word with a common sparse vector, associating the first word words with a first vector of a matrix, associating the second word with a second vector of the matrix, modifying the first vector of the matrix by adding contribution of the common sparse vector to the first vector of the matrix, and modifying the second vector of the matrix by adding contribution of the common sparse vector to the second vector of the matrix.

System, a data structure for controlling the system, and a method for updating the data structure

The invention relates to predictive browsing. A set of words for use with an experience matrix are formed, wherein the words are descriptive of a context of a system such as a current web page, and wherein said experience matrix comprises sparse vectors associated with words. At least a part of at least one sparse vector of said experience matrix is accessed to form a prediction output, and suggestions of web pages are provided to a user in response to said prediction output.

Predictive service access

This invention relates to a communication system comprising a least one user with which presence information is associated, said presence information comprising a plurality of parts, at least one of said parts comprising information identifying an application for which said at least one part is intended; and at least one entity to which presence information associated with said at least one user is provided, said at least one entity having at least one entity application, said at least one entity being arranged to use said information to obtain the at least one part intended for said at least one entity application.

The invention relates to forming a prediction using an experience matrix, a matrix based on sparse vectors such as random index vectors. At least a part of a first experience matrix and at least a part of at least a second experience matrix are caused to be combined () to obtain a combined experience matrix. The experience matrices comprise sparse vectors or essentially similar vectors in nature, and said experience matrices comprise information of at least one system, for example contexts of a system. At least a part of at least one sparse vector of the combined experience matrix is accessed to form a prediction output (), and a system is controlled () in response to said prediction output.

Adaptive system

Co-occurrence data representing e.g. preferences and facts observed in a plurality of situations may be stored in a matrix as combinations of high-dimensional sparse vectors. The matrix may be called e.g. as an experience matrix. The data stored in the experience matrix may be subsequently utilized e.g. for predicting a preference of a user in a new situation. A prediction may be determined by a method comprising providing a query comprising one or more query words, accessing the experience matrix containing co-occurrence data stored as vectors of the experience matrix, determining a first auxiliary vector by identifying a vector of the experience matrix associated with a first query word, forming a query vector by using the first auxiliary vector, and determining the prediction by comparing the query vector with the vectors of the experience matrix.

System, and a method for providing a prediction for controlling a system

The disclosure details the implementation of apparatuses, methods and systems for a Framework for Ad-hoc Applications Based on Advertising (FAABA). The FAABA may employ short-range radio-frequency communications. The disclosure teaches mechanisms for providing targeted advertising in connection with ad-hoc applications/point-to-point (P2P) communications between user terminals. In a manner, the invention teaches general collection components for user terminals, which is responsible for collecting and maintaining a dynamic set of advertisements as a background operation. This allows the user terminals to initiate applications that are based on P2P communication, and furthermore, allows collections of pre-loaded advertisements to be provided to the user terminals along and/or during the P2P communications. Also, the FAABA teaches that after advertisements are stored in the receiving device, the advertisements can be tailored more closely to the interests of the user of the device and the advertisements can be filtered based on current context of the user.

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Helsinki, Finland

Mikko Lonnfors