Abstract: An apparatus receives at least one set of sensor data from at least one mobile device. The sensor data was measured at a particular site and comprises at least motion related sensor data. The apparatus selects a set of parameter values for a parametric site model from a plurality of possible sets of parameter values. The set of parameter values is selected which has the highest likelihood that the parametric site model configured with the set of parameter values correctly represents the particular site in view of the received at least one set of sensor data.

Abstract: An approach is provided for parking availability detection based on vehicle trajectory information. A trajectory processing platform processes and/or facilitates a processing of trajectory data associated with at least one journey of at least one vehicle to determine at least one portion of the at least one journey that is associated at least one parking search by the at least one vehicle. The trajectory processing platform also determines one or more street segments associated with the at least one portion of the at least one journey. The trajectory processing platform further causes, at least in part, a classification of the one or more street segments as associated with the at least one parking search. The trajectory processing platform further determines parking availability information for the one or more street segments based, at least in part, on the trajectory data.

Abstract: An approach is provided for parking availability detection based on vehicle trajectory information. A trajectory processing platform processes and/or facilitates a processing of trajectory data associated with at least one journey of at least one vehicle to determine at least one portion of the at least one journey that is associated at least one parking search by the at least one vehicle. The trajectory processing platform also determines one or more street segments associated with the at least one portion of the at least one journey. The trajectory processing platform further causes, at least in part, a classification of the one or more street segments as associated with the at least one parking search. The trajectory processing platform further determines parking availability information for the one or more street segments based, at least in part, on the trajectory data.

Abstract: An approach is provided for providing context-related destination location recommendations. The destination recommendation platform determines at least one context associated with at least one user. The platform processes and/or facilitates a processing of mobility pattern information associated with the at least one user to determine one or more predicted destination locations and associated probability information based, at least in part, on the at least one context. The probability information represents respective one or more probabilities that the at least one user will travel to the one or more predicted destination locations under the at least one context. The platform further determines entropy information based, at least in part, on the probability information. The platform determines whether to cause, at least in part, a presentation of one or more recommended destination locations to the at least one user based, at least in part, on the entropy information.

Abstract: 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.

Abstract: It is inter alia disclosed methods, apparatuses, systems, computer programs and computer-readable mediums for identifying a point of interest, for providing a point of interest, and for receiving a point of interest. According to one aspect of the invention, a respective position-related information collected by at least one device at a plurality of time points is obtained. One or more of the collected position-related information is represented as respective position-related points in a one- or multidimensional space. At least one point of interest is identified by detecting at least one accumulation zone from the position-related points in the space.

Abstract: In one exemplary embodiment, a method includes: storing a key on a storage medium of a first apparatus, where a value of the key varies over time, where the key is configured to enable decryption of encrypted information; and sending a plurality of communications from the first apparatus to a second apparatus, where each communication comprises at least one portion of the key, where no single communication comprises an entirety of the key. In further exemplary embodiments, the encrypted information is encrypted in accordance with a threshold-based encryption scheme having a threshold such that the encrypted information is configured to be decrypted only if a decryptor is in possession of sufficient accurate portions of the key as compared to the threshold.

Abstract: 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.

Abstract: It is inter alia disclosed methods, apparatuses, systems, computer programs and computer-readable mediums for identifying a point of interest, for providing a point of interest, and for receiving a point of interest. According to one aspect of the invention, a respective position-related information collected by at least one device at a plurality of time points is obtained. One or more of the collected position-related information is represented as respective position-related points in a one- or multidimensional space. At least one point of interest is identified by detecting at least one accumulation zone from the position-related points in the space.

Abstract: 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.

Abstract: An approach is provided for recommendations based on locally generated models. The model platform causes, at least in part, a transfer of at least one user model from a device to a recommendation service, wherein the at least one user model is generated on the device. Next, the model platform determines to associate the at least one user model with user profile information. Then, the model platform processes and/or facilitates a processing of the at least one user model, the user profile information, or a combination thereof to generate at least one recommendation.

Abstract: An approach is provided for providing recommendations based on preloaded models and for generating user profiles to personalize a user experience with a device or service. A recommendation model platform processes at least one latent user model, at least one latent item model, or a combination thereof associated with a device to determine one or more user preference scores with respect to one or more items. The recommendation platform also processes the one or more user preference scores against one or more thresholds values to determine explicit preference information associated with the one or more items. The recommendation platform also generates at least one user profile associated with the device, a user of the device, or a combination thereof based, at least in part, on the explicit preference information.

Abstract: An approach is provided for providing recommendations based on preloaded models. A recommendation model platform determines to cause, at least in part, preloading of a device with at least one user model, at least one item model, or a combination thereof. Then, the recommendation model platform determines to cause, at least in part, processing of the at least one user model, the at least one item model, or a combination thereof to generate at least one recommendation for: (a) the device, (b) at least one user of the device, or (c) a combination thereof.

Abstract: In one exemplary embodiment, a method includes: storing a key on a storage medium of a first apparatus, where a value of the key varies over time, where the key is configured to enable decryption of encrypted information; and sending a plurality of communications from the first apparatus to a second apparatus, where each communication comprises at least one portion of the key, where no single communication comprises an entirety of the key. In further exemplary embodiments, the encrypted information is encrypted in accordance with a threshold-based encryption scheme having a threshold such that the encrypted information is configured to be decrypted only if a decryptor is in possession of sufficient accurate portions of the key as compared to the threshold.