Abstract: Embodiments respond to a position inference request from a computing device to determine a location of a computing device. The position inference request received from the computing device identifies a set of beacons observed by the computing device. A geographic area is estimated in which the computing device is located using the set of beacons. At least one location method is selected to identify a location of the computing device within the geographic area. In some cases two or more location methods may be employed and their results combined using, for example, a weighting function. The location of the computing device is determined within the geographic area using the set of beacons and the selected location method(s). The location that is determined is communicated to the computing device.

Abstract: A visual voicemail (VVM) service uses the MMS (Multimedia Message System) system as a transport mechanism to deliver a voicemail payload to a client VVM application on a mobile device such as a cellular phone or smartphone. The payload is identified as a voicemail using a specific identifier included in a WAP (Wireless Application Protocol) Push message that provides a URL (Uniform Resource Locator) that the VVM client application follows to download the voicemail as an attachment to an MMS message from the VVM service. Regular MMS messages that are not associated with the specific identifier are handled by a conventional messaging application on the mobile device while VVM messages are handled by the client VVM application for presentation in visual form on a user interface supported by the mobile device.

Abstract: Embodiments analyze crowd-sourced data to identify a moved or moving beacon. The crowd-sourced data involving a particular beacon is filtered based on a cluster start time associated with the beacon. A clustering analysis groups the filtered crowd-sourced data for the beacon into a plurality of clusters based on spatial distance. Timestamps associated with the crowd-sourced data in the clusters are compared to select one of the clusters. The crowd-sourced data associated with the selected cluster is used to determine position information for the moved beacon. The cluster start time for the beacon is adjusted based on the earliest timestamp associated with the positioned observations corresponding to the selected cluster. Adjusting the cluster start time removes from a subsequent analysis the positioned observations associated with one or more prior positions of the beacon.

Abstract: Architecture for enabling identification of a call party's representative during calls on behalf of the call party. The call representative is delegated to initiate or answer an IP call on behalf of the call party. An IP-telephony component initiates or answers the IP call by the call representative on behalf of the call party. The IP-telephony component can be an IP telephone, or any other suitable IP calling interface. An identification component presents a representation notification identifying the call representative to a connected call party. The representation notification can be displayed on a caller ID display on an IP phone, or can be displayed on a user interface of the personal computing device, for example. The calls can be point-to-point IP calls with a single participant, or can be conference calls with multiple participants, and can be performed with one or more suitable protocols.

Abstract: Multiple instances of an incoming call in a unified communication system capable of communicating through multiple networks are provided to devices and/or applications associated with the called party. Upon acceptance or a global rejection of the incoming call through one of the end devices/applications, the remainder are provided a cancellation notice for the forked call request that includes information associated with which end device took the action, what type of action was taken, whether the action was based on automatic policy implementation.

Abstract: Embodiments order observed beacons based on relative signal strength to create a correspondence between beacon sets and positions. A computing device such as a mobile device provides a positioned observation including a plurality of observed beacons and a position of the mobile device during observation. The observed beacons are ordered based on quality indicators such as signal strength relative to each other. A set of the beacons are selected based on the ordering (e.g., the beacons with the strongest signal strength are selected in order). The position of the observing mobile device is associated with the beacon set to enable location inference for other devices providing observations including the same beacon set.

Abstract: Embodiments analyze crowd-sourced data to identify a moved or moving beacon. The crowd-sourced data involving a particular beacon is filtered based on a cluster start time associated with the beacon. A clustering analysis groups the filtered crowd-sourced data for the beacon into a plurality of clusters based on spatial distance. Timestamps associated with the crowd-sourced data in the clusters are compared to select one of the clusters. The crowd-sourced data associated with the selected cluster is used to determine position information for the moved beacon. The cluster start time for the beacon is adjusted based on the earliest timestamp associated with the positioned observations corresponding to the selected cluster. Adjusting the cluster start time removes from a subsequent analysis the positioned observations associated with one or more prior positions of the beacon.

Abstract: Embodiments analyze crowd-sourced data to identify a moved or moving beacon. The crowd-sourced data involving a particular beacon is filtered based on a cluster start time associated with the beacon. A clustering analysis groups the filtered crowd-sourced data for the beacon into a plurality of clusters based on spatial distance. Timestamps associated with the crowd-sourced data in the clusters are compared to select one of the clusters. The crowd-sourced data associated with the selected cluster is used to determine position information for the moved beacon. The cluster start time for the beacon is adjusted based on the earliest timestamp associated with the positioned observations corresponding to the selected cluster. Adjusting the cluster start time removes from a subsequent analysis the positioned observations associated with one or more prior positions of the beacon.

Abstract: Training datasets and test datasets consisting of observations (i.e., RSS measurements) partitioned per a mapping tile system are used to evaluate possible RSS weighting functions for each such tile. The observations from the training dataset are used to determine an optimal weighting function based on the training dataset that minimizes the error for the test data, wherein the error may be a function of the deltas between GPS positions of observations in the test dataset and predicted positions from the RSS weighted functions applied to test data. The accuracy of the optimal weighted function for each tile is characterized to determine whether to use the weighted function or an alternative (such as a non-weighted function) for subsequent inquiries.

Abstract: Embodiments respond to a position inference request from a computing device to determine a location of a computing device. The position inference request received from the computing device identifies a set of beacons observed by the computing device. A geographic area is estimated in which the computing device is located using the set of beacons. At least one location method is selected to identify a location of the computing device within the geographic area. In some cases two or more location methods may he employed and their results combined using, for example, a weighting function. The location of the computing device is determined within the geographic area using the set of beacons and the selected location method(s). The location that is determined is communicated to the computing device.

Abstract: Communication requests added to a conversation are routed directly to a user without following the pre-configured routing rules for the user during a breakthrough period. The breakthrough period may last for the duration of the conversation or for some other period of time. A conversation may be initiated using any supported type of communication. For example, if a user initially sets up an IM conversation with a remote user, then when a voice call is made to the user from the remote user, the voice call is routed directly to the user without applying the routing rules that are configured for the user. Once the breakthrough period has elapsed, the routing rules become active again and are applied to communications received from the remote user that are directed to the user.

Abstract: The claimed subject matter provides a system and/or a method that facilitates maintaining identification data for a real-time communication. A unified communications component can enable real-time communications by employing a communication session with at least one data communication mode, wherein the communication session can include conversation identification (ID). An invitation from a source to a target can initiate at least one of the communication session or the at least one data communication mode within the communication session. An update component can generate an additional conversation ID for the communication session upon detecting the invitation is forwarded by the target.

Abstract: Training datasets and test datasets consisting of observations (i.e., RSS measurements) partitioned per a mapping tile system are used to evaluate possible RSS weighting functions for each such tile. The observations from the training dataset are used to determine an optimal weighting function based on the training dataset that minimizes the error for the test data, wherein the error may be a function of the deltas between GPS positions of observations in the test dataset and predicted positions from the RSS weighted functions applied to test data. The accuracy of the optimal weighted function for each tile is characterized to determine whether to use the weighted function or an alternative (such as a non-weighted function) for subsequent inquiries.

Abstract: Multiple instances of an incoming call in an integrated system capable of communicating through multiple networks are associated such that the called party is provided a single (merged) notification along with options to select among available call types. The call is established using a selected network and end device registered to the called user. Association of the instances is accomplished by comparing caller identity derived from a variety of information associated with the calling party. Conversation or correlation IDs are used to associate the instances as being for the same call and with other related communications such as a related instant messaging session.

Abstract: Embodiments order observed beacons based on relative signal strength to create a correspondence between beacon sets and positions. A computing device such as a mobile device provides a positioned observation including a plurality of observed beacons and a position of the mobile device during observation. The observed beacons are ordered based on quality indicators such as signal strength relative to each other. A set of the beacons are selected based on the ordering (e.g., the beacons with the strongest signal strength are selected in order). The position of the observing mobile device is associated with the beacon set to enable location inference for other devices providing observations including the same beacon set.

Abstract: In one embodiment, a user paired controller communication device may pair with a user paired server communication device. The user paired controller communication device may direct the user paired server communication device to execute a first mode communication session of a multimodal conversation, such as a voice session. The user paired controller communication may execute a second mode communication session of the multimodal conversation, such as an instant messaging session.

Abstract: Embodiments analyze crowd-sourced data to identify a moved or moving beacon. The crowd-sourced data involving a particular beacon is filtered based on a cluster start time associated with the beacon. A clustering analysis groups the filtered crowd-sourced data for the beacon into a plurality of clusters based on spatial distance. Timestamps associated with the crowd-sourced data in the clusters are compared to select one of the clusters. The crowd-sourced data associated with the selected cluster is used to determine position information for the moved beacon. The cluster start time for the beacon is adjusted based on the earliest timestamp associated with the positioned observations corresponding to the selected cluster. Adjusting the cluster start time removes from a subsequent analysis the positioned observations associated with one or more prior positions of the beacon.

Abstract: Multiple instances of an incoming call in a unified communication system capable of communicating through multiple networks are provided to devices and/or applications associated with the called party. Upon acceptance or a global rejection of the incoming call through one of the end devices/applications, the remainder are provided a cancellation notice for the forked call request that includes information associated with which end device took the action, what type of action was taken, whether the action was based on automatic policy implementation.

Abstract: Multiple instances of an incoming call in a unified communication system capable of communicating through multiple networks are provided to devices and/or applications associated with the called party. Upon acceptance or a global rejection of the incoming call through one of the end devices/applications, the remainder are provided a cancellation notice for the forked call request that includes information associated with which end device took the action, what type of action was taken, whether the action was based on automatic policy implementation.

Abstract: Architecture for seamless role switching in application sharing. A multipoint control unit (MCU) can be used for connecting multiple clients over a network. An application sharing component establishes an application sharing session over the MCU, and application content is exchanged from a sharer client to one or more viewer clients. Each client can communicate a media connection preference to the session. Client sharer and viewer roles are defined during creation of the application sharing session. A client can seamlessly switch roles during the session from a viewer to a sharer, and vice-versa, so that different application content can be shared to the session viewers. The session can be restricted to only one sharer so that the viewing clients view one sharer client at a time.