Nokia Technologies Oy

Nokia Corporation

Here Global B.v.

Juha Kalevi Laurila

Debmalya Biswas

Sergey Boldyrev

Olivier Dousse

Mikko Aleksi Uusitalo

Julian Charles Nolan

Ian Justin Oliver

Sailesh Kumar Sathish

Niko Kiukkonen

Jari-Jukka Harald Kaaja

Nikolai Nefedov

Jan Otto Blom

Jari Pekka Hämäläinen

Gian Paolo Perrucci

Lauri Aarno Olavi Tarkkala

Julien Eberle

Taneli Mielikainen

Mats Lönngren

Daniel Gatica-Perez

Raul Montoliu-Colas

An approach is provided for providing real-time controlled location privacy as the location evolves, and providing a user with alternate routes and applications depending on the level of desired location privacy. A location privacy platform determines at least one location associated with at least one device. The location privacy platform also processes and/or facilitates a processing of contextual information associated with the at least one location, the at least one device, one or more applications associated with the at least one device, or a combination thereof to determine one or more privacy metrics for the one or more applications with respect to the at least one location; wherein the one or more privacy metrics relate, at least in part, to an exposure of user data by the one or more applications at the at least one location.

Method and apparatus for providing location privacy

Methods and apparatuses are provided for validating crowdsourced location data. A validation platform causes, at least in part, a determination of location data reported by at least one user, at least one device associated with the at least one user, or a combination thereof. The validation platform processes, and/or facilitates a processing of personal detail information associated with the at least one user, the at least one device, or a combination thereof to cause, at least in part, a validation of the location data.

Method and apparatus for updating or validating a geographic record based on crowdsourced location data

An approach is provided for providing abstracted user models in accordance with one or more access policies. A model platform determines an ontology for specifying a hierarchy of one or more abstraction levels for items data used in latent factorization models. The model platform further causes, at least in part, a generation of one or more user models for the one or more abstraction levels. The model platform also causes, at least in part, a selection of at least one of the one or more user models for generating one or more recommendations for one or more applications, one or more services, or a combination thereof based, at least in part, on one or more privacy policies, one or more security policies, or a combination thereof.

Method and apparatus for providing abstracted user models

An approach is provided for determining and utilizing geographical locations contextually relevant to a user. A contextually relevant location platform determines location-based data associated with a user and/or user device. The contextually relevant location platform determines stationary points based, at least in part, on the location-based data. The contextually relevant location platform determines context data associated with the stationary points. The contextually relevant location platform determines at least one location anchor based, at least in part, on the stationary points and the associated context data, wherein the at least one location anchor represents a bounded geographical area of contextual relevance to the user.

Method and apparatus for determining contextually relevant geographical locations

Methods and apparatus for negotiation of data sharing arrangements. A user profile vector comprising user data is defined according to user selections and privacy and cost information relating to the user profile vector are computed. The user profile vector and service provider data requests by service providers are compared, and data sharing arrangements are entered into when a match is identified between the user profile vector and a provider data request. Data collection and sharing is conducted in accordance with the arrangements.

Method and apparatus for user information exchange

Disclosed is an apparatus, method and computer program device which send a prediction request to a prediction service to construct a prediction result, receives a prediction result and an estimation of accuracy of the prediction result from the prediction service and configures an application to adapt to at least one of user preferences, behavior and habits based upon the prediction result and estimation of accuracy of the prediction result. The prediction service can include an over-the-air server which is coupled to a prediction server or a dedicated API residing on one or more user devices and configured to access a prediction server.

Predictive service for third party application developers

Growing community of inventors

St. Legier, Switzerland

Juha Kalevi Laurila