Abstract: An approach is provided for generating a relevant social graph. A social graph identifying people associated with a user is retrieved. A communication history from a device associated with the user is retrieved. Information regarding a respective occurrence of each identified person in the communication history is determined. A relevant social graph is generated based, at least in part, on the determined occurrence information.

Abstract: An apparatus may include a messaging module configured to suggest a message segment in order to draft a message. A contextual characteristic determiner may be used to determine contextual characteristics of the apparatus, the recipient of a call, and/or the user of the apparatus and thereby the messaging module may suggest the message segment based on the contextual characteristics. The contextual characteristics may include user emotions, which may be recognized by an emotion recognizer. Message segments may also be based on prior messaging history. Thereby, the apparatus may suggest message segments in order to more easily draft messages when, for example, initiating or responding to attempted voice communications. Further, the apparatus may include a reminder scheduler which is configured to schedule a reminder to respond to an attempted voice communication.

Abstract: Systems, apparatuses, and methods for automating avatar selection for groups are disclosed. A representative method includes providing a software application accessible to multiple users, and a database of available avatar characteristics that are selectively combinable to create user-specific avatars with which the users can represent themselves to each other in the application. User(s) associated with a group provide an instruction that associates a first set of the available avatar characteristics with the group. For users associated with the group, access is then restricted to the first set of avatar characteristics, and for users not associated with the group, access is restricted to a different second set of available avatar characteristics. Avatar characteristics in the first set may be selected by an automated procedure that analyzes user-specific avatars of some users, and selects which of the available avatar characteristics to include in the first set based on the analysis.

Abstract: An approach is provided for generating a relevant social graph. A social graph identifying people associated with a user is retrieved. A communication history from a device associated with the user is retrieved. Information regarding a respective occurrence of each identified person in the communication history is determined. A relevant social graph is generated based, at least in part, on the determined occurrence information.

Abstract: In accordance with an example embodiment of the present invention, a method is provided for transferring information items between communications devices. A source device detects a selection input by an input object. Direction of movement of the input object is detected after the selection input. A target device is identified on the basis of the direction of movement of the input object. The target device is connected for transferring an information item associated with the selection input.

Abstract: An apparatus may include a messaging module configured to suggest a message segment in order to draft a message. A contextual characteristic determiner may be used to determine contextual characteristics of the apparatus, the recipient of a call, and/or the user of the apparatus and thereby the messaging module may suggest the message segment based on the contextual characteristics. The contextual characteristics may include user emotions, which may be recognized by an emotion recognizer. Message segments may also be based on prior messaging history. Thereby, the apparatus may suggest message segments in order to more easily draft messages when, for example, initiating or responding to attempted voice communications. Further, the apparatus may include a reminder scheduler which is configured to schedule a reminder to respond to an attempted voice communication.

Abstract: An approach is provided for generating a relevant social graph. A social graph identifying people associated with a user is retrieved. A communication history from a device associated with the user is retrieved. Information regarding a respective occurrence of each identified person in the communication history is determined. A relevant social graph is generated based, at least in part, on the determined occurrence information.

Abstract: In accordance with an example embodiment of the present invention, a method is provided for transferring information items between communications devices. A source device detects a selection input by an input object. Direction of movement of the input object is detected after the selection input. A target device is identified on the basis of the direction of movement of the input object. The target device is connected for transferring an information item associated with the selection input.

Abstract: An apparatus may include a messaging module configured to suggest a message segment in order to draft a message. A contextual characteristic determiner may be used to determine contextual characteristics of the apparatus, the recipient of a call, and/or the user of the apparatus and thereby the messaging module may suggest the message segment based on the contextual characteristics. The contextual characteristics may include user emotions, which may be recognized by an emotion recognizer. Message segments may also be based on prior messaging history. Thereby, the apparatus may suggest message segments in order to more easily draft messages when, for example, initiating or responding to attempted voice communications. Further, the apparatus may include a reminder scheduler which is configured to schedule a reminder to respond to an attempted voice communication.

Abstract: In accordance with an example embodiment of the present invention, a method is provided for transferring information items between communications devices. A source device detects a selection input by an input object. Direction of movement of the input object is detected after the selection input. A target device is identified on the basis of the direction of movement of the input object. The target device is connected for transferring an information item associated with the selection input.

Abstract: An apparatus may include a messaging module configured to suggest a message segment in order to draft a message. A contextual characteristic determiner may be used to determine contextual characteristics of the apparatus, the recipient of a call, and/or the user of the apparatus and thereby the messaging module may suggest the message segment based on the contextual characteristics. The contextual characteristics may include user emotions, which may be recognized by an emotion recognizer. Message segments may also be based on prior messaging history. Thereby, the apparatus may suggest message segments in order to more easily draft messages when, for example, initiating or responding to attempted voice communications. Further, the apparatus may include a reminder scheduler which is configured to schedule a reminder to respond to an attempted voice communication.

Abstract: An approach is provided for generating a relevant social graph. A social graph identifying people associated with a user is retrieved. A communication history from a device associated with the user is retrieved. Information regarding a respective occurrence of each identified person in the communication history is determined. A relevant social graph is generated based, at least in part, on the determined occurrence information.

Abstract: An approach is provided for acquiring media corresponding to a target expression. The expression platform receives a request specifying one or more target expressions. Next, the expression platform causes, at least in part, acquisition of media including an expression of one or more emotions. Next, the expression platform performs recognition analysis on the media to extract expression data. Next, the expression platform matches the extracted expression data against reference data corresponding to the one or more target expressions. Then, the expression platform computes a similarity score between the extracted expression data and the matched target expression.

Abstract: Systems, apparatuses, and methods for automating avatar selection for groups are disclosed. A representative method includes providing a software application accessible to multiple users, and a database of available avatar characteristics that are selectively combinable to create user-specific avatars with which the users can represent themselves to each other in the application. User(s) associated with a group provide an instruction that associates a first set of the available avatar characteristics with the group. For users associated with the group, access is then restricted to the first set of avatar characteristics, and for users not associated with the group, access is restricted to a different second set of available avatar characteristics. Avatar characteristics in the first set may be selected by an automated procedure that analyzes user-specific avatars of some users, and selects which of the available avatar characteristics to include in the first set based on the analysis.