Abstract: Techniques for scam detection and prevention are described. In one embodiment, an apparatus may comprise an interaction processing component operative to generate a scam message example repository; submit the scam message example repository to a natural-language machine learning component; and receive a scam message model from the natural-language machine learning component in response to submitting the scam message example repository; an interaction monitoring component operative to monitor a plurality of messaging interactions with a messaging system based on the scam message model; and determine a suspected scam messaging interaction of the plurality of messaging interactions; and a scam action component operative to perform a suspected scam messaging action with the messaging system in response to determining the suspected scam messaging interaction. Other embodiments are described and claimed.

Abstract: Techniques for scam detection and prevention are described. In one embodiment, an apparatus may comprise an interaction processing component operative to generate a scam message example repository; submit the scam message example repository to a natural-language machine learning component; and receive a scam message model from the natural-language machine learning component in response to submitting the scam message example repository; an interaction monitoring component operative to monitor a plurality of messaging interactions with a messaging system based on the scam message model; and determine a suspected scam messaging interaction of the plurality of messaging interactions; and a scam action component operative to perform a suspected scam messaging action with the messaging system in response to determining the suspected scam messaging interaction. Other embodiments are described and claimed.

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of the online social network, an indication that the first user is at a first geographic location, and determine that the first user is traveling based on the first user being at the first geographical location. The social-networking system may then identify one or more second geographic locations within a threshold distance from the first geographic location, the second geographic locations being determined based on a travel-recommendation model. The social-networking system may determine one or more itinerary constraints associated with the first user, generate a travel itinerary for the first user based on the first geographic location, the second geographic locations, and the itinerary constraints associated with the first user. The social-networking system may then send, to the client system of the first user, the travel itinerary for display to the first user.

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of the online social network, an indication that the first user is accessing a travel-recommendation interface, receive an indication of a first geographic location, and identify one or more second geographic locations within a threshold distance from the first geographic location, the one or more second geographic locations being determined based on a travel-recommendation model associated with the first user. The social-networking system may generate one or more travel recommendations comprising at least one of the identified one or more second geographic locations, and send, to the client system of the first user, instructions for presenting the travel-recommendation interface, wherein the travel-recommendation interface comprises a map labeling one or more of the second geographic locations representing the travel recommendations.

Abstract: Techniques for scam detection and prevention are described. In one embodiment, an apparatus may comprise an interaction processing component operative to generate a scam message example repository; submit the scam message example repository to a natural-language machine learning component; and receive a scam message model from the natural-language machine learning component in response to submitting the scam message example repository; an interaction monitoring component operative to monitor a plurality of messaging interactions with a messaging system based on the scam message model; and determine a suspected scam messaging interaction of the plurality of messaging interactions; and a scam action component operative to perform a suspected scam messaging action with the messaging system in response to determining the suspected scam messaging interaction. Other embodiments are described and claimed.

Abstract: Techniques for scam detection and prevention are described. In one embodiment, an apparatus may comprise an interaction processing component operative to generate a scam message example repository; submit the scam message example repository to a natural-language machine learning component; and receive a scam message model from the natural-language machine learning component in response to submitting the scam message example repository; an interaction monitoring component operative to monitor a plurality of messaging interactions with a messaging system based on the scam message model; and determine a suspected scam messaging interaction of the plurality of messaging interactions; and a scam action component operative to perform a suspected scam messaging action with the messaging system in response to determining the suspected scam messaging interaction. Other embodiments are described and claimed.

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of the online social network, an indication that the first user is accessing a travel-recommendation interface, receive an indication of a first geographic location, and identify one or more second geographic locations within a threshold distance from the first geographic location, the one or more second geographic locations being determined based on a travel-recommendation model associated with the first user. The social-networking system may generate one or more travel recommendations comprising at least one of the identified one or more second geographic locations, and send, to the client system of the first user, instructions for presenting the travel-recommendation interface, wherein the travel-recommendation interface comprises a map labeling one or more of the second geographic locations representing the travel recommendations.

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of an online social network, an indication that the first user is traveling to a first geographic location, and identify one or more second geographic locations within a threshold distance from the first geographic location. The second geographic locations may be determined based on a travel-recommendation model. The travel-recommendation model may include aggregated user information from the online social network associated with the first user and aggregated travel information from the online social network associated with one or more second users of the online social network who have traveled to the first geographic location. The social-networking system may generate travel recommendations based on the identified second geographic locations, and then send, to the client system of the first user, one or more of the travel recommendations for display to the first user.

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of an online social network, an indication that the first user is traveling to a first geographic location, and identify one or more second geographic locations within a threshold distance from the first geographic location. The second geographic locations may be determined based on a travel-recommendation model. The travel-recommendation model may include aggregated user information from the online social network associated with the first user and aggregated travel information from the online social network associated with one or more second users of the online social network who have traveled to the first geographic location. The social-networking system may generate travel recommendations based on the identified second geographic locations, and then send, to the client system of the first user, one or more of the travel recommendations for display to the first user.

Abstract: In one embodiment, a social-networking system may receive, from a client system of a first user of the online social network, an indication that the first user is at a first geographic location, and determine that the first user is traveling based on the first user being at the first geographical location. The social-networking system may then identify one or more second geographic locations within a threshold distance from the first geographic location, the second geographic locations being determined based on a travel-recommendation model. The social-networking system may determine one or more itinerary constraints associated with the first user, generate a travel itinerary for the first user based on the first geographic location, the second geographic locations, and the itinerary constraints associated with the first user. The social-networking system may then send, to the client system of the first user, the travel itinerary for display to the first user.

Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.

Abstract: Characterizing an acoustic signal includes extracting a vector from the acoustic signal, where the vector contains information about the nuisance characteristics present in the acoustic signal, and computing a set of likelihoods of the vector for a plurality of classes that model a plurality of nuisance characteristics. Training a system to characterize an acoustic signal includes obtaining training data, the training data comprising a plurality of acoustic signals, where each of the plurality of acoustic signals is associated with one of a plurality of classes that indicates a presence of a specific type of nuisance characteristic, transforming each of the plurality of acoustic signals into a vector that summarizes information about the acoustic characteristics of the signal, to produce a plurality of vectors, and labeling each of the plurality of vectors with one of the plurality of classes.

Abstract: A system and method of verifying the identity of an authorized user in an authorized user group for enabling secure access to one or more services via a device includes receiving first voice information from a speaker through the device, calculating a confidence score based on a comparison of the first voice information with a stored voice model associated with the authorized user and specific to the authorized user, interpreting the first voice information as a specific service request, identifying a minimum confidence score for initiating the specific service request, determining whether or not the confidence score exceeds the minimum confidence score, and initiating the specific service request if the confidence score exceeds the minimum confidence score.

Abstract: A system and method of verifying the identity of an authorized user in an authorized user group for enabling secure access to one or more services via a device includes receiving first voice information from a speaker through the device, calculating a confidence score based on a comparison of the first voice information with a stored voice model associated with the authorized user and specific to the authorized user, interpreting the first voice information as a specific service request, identifying a minimum confidence score for initiating the specific service request, determining whether or not the confidence score exceeds the minimum confidence score, and initiating the specific service request if the confidence score exceeds the minimum confidence score.

Abstract: A content-aware speaker recognition system includes technologies to, among other things, analyze phonetic content of a speech sample, incorporate phonetic content of the speech sample into a speaker model, and use the phonetically-aware speaker model for speaker recognition.

Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.

Abstract: A system and method of verifying the identity of an authorized user in an authorized user group through a voice user interface for enabling secure access to one or more services via a mobile device includes receiving first voice information from a speaker through the voice user interface of the mobile device, calculating a confidence score based on a comparison of the first voice information with a stored voice model associated with the authorized user and specific to the authorized user, interpreting the first voice information as a specific service request, identifying a minimum confidence score for initiating the specific service request, determining whether or not the confidence score exceeds the minimum confidence score, and initiating the specific service request if the confidence score exceeds the minimum confidence score.

Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.

Abstract: The present invention relates to a method and apparatus for generating speaker-specific spoken passwords. One embodiment of a method for generating a spoken password for use by a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and incorporating the speech features in the spoken password.

Abstract: A content-aware speaker recognition system includes technologies to, among other things, analyze phonetic content of a speech sample, incorporate phonetic content of the speech sample into a speaker model, and use the phonetically-aware speaker model for speaker recognition.