摘要:
Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
摘要:
To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.
摘要:
To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.
摘要:
A social networking system may recommend a set of users to a viewing user for establishing new connections on the social networking system. Through a user interface, the viewing user may select filters based on characteristics and dimensions of user profile information. The recommended set of users may be ranked according to the selected filters by the number of mutual connections. Pre-populated filters may be selected and suggested based on information about the viewing user. Multiple filters may be selected by the viewing user, and filters may be based on any identifiable object in the social networking system, in one embodiment. The candidate recommended users may also be ranked based on predictions that the viewing user will initiate a request to connect with the candidate recommended users.
摘要:
Representation-neutral dialogue systems and methods (“RNDS”) are described that include multi-application, multi-device spoken-language dialogue systems based on the information-state update approach. The RNDS includes representation-neutral core components of a dialogue system that provide scripted domain-specific extensions to routines such as dialogue move modeling and reference resolution, easy substitution of specific semantic representations and associated routines, and clean interfaces to external components for language-understanding (i.e., speech-recognition and parsing) and language-generation, and to domain-specific knowledge sources. The RNDS also resolves multi-device dialogue by evaluating and selecting among candidate dialogue moves based on features at multiple levels. Multiple sources of information are combined, multiple speech recognition and parsing hypotheses tested, and multiple device and moves considered to choose the highest scoring hypothesis overall. Confirmation and clarification behavior can be governed by the overall score.
摘要:
In one embodiment, a method includes receiving a message associated with a user at an information exchange system. At least one correspondent associated with the user may be determined, based on the message. A social connection between the user and the at least one correspondent may be assessed with respect to a social-networking system. The information exchange system may provide an interface for display to the user, the interface comprising information associated with the message. If the social connection is confirmed, the interface may include social-networking information associated with the at least one correspondent. Otherwise, the interface may provide functionality to create a social connection between the user and the at least one correspondent with respect to the social-networking system.
摘要:
In one embodiment, a method includes receiving a message associated with a user at an information exchange system. At least one correspondent associated with the user may be determined, based on the message. A social connection between the user and the at least one correspondent may be assessed with respect to a social-networking system. The information exchange system may provide an interface for display to the user, the interface comprising information associated with the message. If the social connection is confirmed, the interface may include social-networking information associated with the at least one correspondent. Otherwise, the interface may provide functionality to create a social connection between the user and the at least one correspondent with respect to the social-networking system.
摘要:
Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
摘要:
Representation-neutral dialogue systems and methods (“RNDS”) are described that include multi-application, multi-device spoken-language dialogue systems based on the information-state update approach. The RNDS includes representation-neutral core components of a dialogue system that provide scripted domain-specific extensions to routines such as dialogue move modeling and reference resolution, easy substitution of specific semantic representations and associated routines, and clean interfaces to external components for language-understanding (i.e., speech-recognition and parsing) and language-generation, and to domain-specific knowledge sources. The RNDS also resolves multi-device dialogue by evaluating and selecting among candidate dialogue moves based on features at multiple levels. Multiple sources of information are combined, multiple speech recognition and parsing hypotheses tested, and multiple device and moves considered to choose the highest scoring hypothesis overall. Confirmation and clarification behaviour can be governed by the overall score.