Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

Abstract: A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

Abstract: The user enters a merchant location with a user device. An account management system logs an action of the user device at the merchant location. The account management system transmits a location-based offer to the user device. The user device receives the location-based offer and the user selects the location-based offer on the user device. The user desires to make a purchase from the merchant system and accesses the merchant website. The user initiates a transaction with the merchant via the merchant website. The account management system logs the user purchase activity and notes a conversion. For example, a conversion occurs when a user receives a location-based offer and then later purchases online a product or service from a merchant or manufacturer associated with the offer. The merchant system processes the transaction and the account management system logs the conversion of the offer.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

Abstract: A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

Abstract: A system and method for providing destination recommendations to a user based on mining of a location history. The location history provides information on locations visited by users of the system over time. The system mines the location history to identify location pairs. Each location pair comprises an originating location visited by a user and a next location that was visited by the user within a defined time threshold of visiting the originating location. The system aggregates location pairs by common originating location. The system then takes into account the current location of a requesting user. The system uses the current location information to identify a corresponding originating location in a location history index. The system provides recommendations based at least in part on how frequently certain next locations were visited after visiting the originating location.

Abstract: Content processing includes receiving a set of a correctly spelled alert words and at least one spelling variant corresponding to each correctly spelled alert word; determining at least one alignment of joint multigrams for each correctly spelled alert word/corresponding spelling variant pair; training a model of correspondence between the set of received orthographic alert words and corresponding spelling variants using the determined alignments; and receiving a spelling variant observation from a content block. Using the trained model, the technology determines a probability that the received spelling variant observation corresponds to a received correctly spelled alert word. For a determined probability exceeding a configured threshold, the technology denies automatic acceptance of the content block.

Abstract: Determining a store topography and/or a user's location within the topography comprises beacon responses received by a user device. A merchant places beacons at various unknown locations in the store. A user enables an application on the user device that allows the device to transmit probing requests to the beacons and transmit data received in response to the requests to a detection system. The detection system receives the beacon responses from the user device, and using a predictive or trained classifier model, predicts the topography based on the information received. The determined topography may be used to provide information to the user when the user is located in a particular determined location in the topography.

Abstract: A location management system identifies points of interest that may be of interest to one or more users. The location management system defines a geofence boundary encompassing a particular point of interest. When the location management system determines that the user device is inside the geofence boundary—but not, for example, when the location management system determines that the user determines that the user device is outside the geofence boundary—the location management system instructs the user device to determine wireless signals available to the user device. The location management system then receives wireless signal data from the user device for available wireless signals. By matching the received wireless signal data to known wireless signals available at the identified points of interest, the location management system determines that the user device (and hence the user) is at the point of interest.

Abstract: A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

Abstract: Disclosed are apparatus and methods for generating synthesized utterances related to output of commands. A command is received at a computing device. A textual output for the command is determined using the computing device. A spoken output of the computing device is generated that utilizes a plurality of vocal characteristic sets. At least a portion of the spoken output corresponds to the textual output. At least a first part of the spoken output utilizes vocal characteristics of a first vocal characteristic set. At least a second part of the spoken output utilizes vocal characteristics of a second vocal characteristic set, where at least some of the vocal characteristics of the first vocal characteristic set differ from the vocal characteristics of the second vocal characteristic set.

Abstract: Methods and systems for adaptation of synthetic speech in an environment are described. In an example, a device, which may include a text-to-speech (TTS) module, may be configured to determine characteristics of an environment of the device. The device also may be configured to determine, based on the one or more characteristics of the environment, speech parameters that characterize a voice output of the text-to-speech module. Further, the device may be configured to process a text to obtain the voice output corresponding to the text based on the speech parameters to account for the one or more characteristics of the environment.

Abstract: Disclosed are apparatus and methods for generating synthesized utterances. A computing device can receive speech data corresponding to spoken utterances of a particular speaker. Textual elements of an input text corresponding to the speech data can be recognized. Confidence levels associated with the recognized textual elements can be determined. Speech-synthesis parameters of decision trees can be adapted based on the speech data, recognized textual elements, and associated confidence levels. Each adapted decision tree can map individual elements of a text to individual of the speech-synthesis parameters. A second input text can be received. The second input text can be mapped to speech-synthesis parameters using the adapted decision trees. A synthesized spoken utterance can be generated corresponding to the second input text using the speech-synthesis parameters. At least some of the speech-synthesis parameters are configured to simulate the particular speaker.