Patent application number | Description | Published |
20140067455 | METHOD AND APPARATUS FOR AUTOMATICALLY MANAGING USER ACTIVITIES USING CONTEXTUAL INFORMATION - An automatic calendar-managing system automatically updates a user's schedule in response to schedule-modifying events. During operation, the system can detect a schedule-modifying event, which can include an event that is likely to require the user to modify a set of scheduled activities. The system then generates a schedule modification, which includes at least one change to the user's set of scheduled activities, to account for the schedule-modifying event. The system can reschedule the user's set of scheduled activities to accommodate the schedule modification. | 03-06-2014 |
20140122383 | METHOD AND SYSTEM FOR PSYCHOLOGICAL ANALYSIS BY FUSING MULTIPLE-VIEW PREDICTIONS - One embodiment of the present invention provides a system for predicting a personality trait. During operation, the system initially obtains personality data associated with users. The system collects sample data associated with the users. Next, the system trains a predictor with the collected sample data and the personality data. Then, the system collects data associated with a particular user, and generates a personality trait score for the particular user by using the predictor to analyze the particular user's collected data. | 05-01-2014 |
20140122501 | METHOD AND SYSTEM FOR BUILDING AN ENTITY PROFILE FROM EMAIL ADDRESS AND NAME INFORMATION - An entity-profiling system obtains an electronic identifier for a target entity, such as an email address at which the target entity can be reached, and parses the electronic identifier to determine a name for the target entity. The system also parses the electronic identifier to determine a domain with which the target entity is associated. The system then obtains one or more Internet web pages associated with the target entity based on the entity's name and the domain, and generates a profile for the target entity based on the obtained Internet web pages. | 05-01-2014 |
20140317030 | METHOD AND APPARATUS FOR CUSTOMIZING CONVERSATION AGENTS BASED ON USER CHARACTERISTICS - A conversation-simulating system facilitates simulating an intelligent conversation with a human user. During operation, the system can receive a user-statement from the user during a simulated conversation, and generates a set of automatic-statements that each responds to the user-statement. The system then determines a set of behavior-characteristics for the user, and computes relevance scores for the automatic-statements based on the behavior-characteristics. Each relevance score indicates an outcome quality that the user is likely to perceive for the automatic-statement as a response to the user-statement. The system selects an automatic-statement that has a highest relevance score from the set of automatic-statements, and provides the selected automatic-statement to the user. | 10-23-2014 |
20140344174 | SYSTEM AND METHOD FOR DETECTING QUITTING INTENTION BASED ON ELECTRONIC-COMMUNICATION DYNAMICS - A quitting-intention estimating system facilitates detecting an entity's intention to quit an organization. During operation, the system obtains recent electronic-communication information associated with the entity under investigation, such as an employee of a corporation, or a volunteer of a non-profit organization. The system can determine the entity's quitting intention by determining a plurality of recent communication features from the electronic-communication information, for example, by using a variety of feature-extracting modules that extract the features from the entity's electronic communications. The system then computes a quitting-intention value for the entity under investigation, using a quitting-intention estimating function that takes the recent communication features as input. The quitting-intention estimating function detects a change in the entity's behavior from previous communication features, and generates a quitting-intention value which indicates a likelihood that the change in the entity's behavior corresponds to an intention to quit the organization. | 11-20-2014 |
20150161670 | SYSTEM AND METHOD FOR ESTIMATING AND CLUSTERING MULTIPLE-DIMENSION CHARACTERISTICS FOR AUCTION-BASED MESSAGE DELIVERY - One embodiment of the present invention provides a system for characteristics-based message delivery. During operation, the system receives activity data associated with a user, and infers a characteristic profile associated with the user based on the received activity data. The system further receives a plurality of messages, estimates the user's preference for the messages based on the inferred characteristic profile and content of the messages, selects a message from the plurality of messages based on the user's preference and a pre-determined bidding price associated with the message and the characteristic profile, and delivers the selected message to the user. | 06-11-2015 |
20150281162 | SYSTEM AND METHOD FOR PRIORITIZING MESSAGES BASED ON SENDERS AND CONTENT FOR DRIVERS - The system facilitates the selective display of messages to a user while the user is driving a vehicle. During operation, the system determines the priority of a message based on one or more of: a sender of the message; whether the message requests a response; a duration of time within which to read the message; and one or more rules. The system precludes the display of one or more messages while the user is driving a vehicle based on the respective priority of the messages. | 10-01-2015 |
20160078353 | MONITORING USER STATUS BY COMPARING PUBLIC AND PRIVATE ACTIVITIES - One embodiment of the present invention provides a system for detecting anomalous correlations between public and private activities of a user. During operation, the system collects public and private activity data associated with the user. The system generates a series of feature pairs, each feature pair including a public feature vector and a private feature vector generated from the activity data. Each respective feature pair corresponds to a respective point in time. The system generates a model to determine whether there is an anomaly in a correlation between the user's public and private activity data. The model is associated with a normal correlation between the user's public and private activity data over a period of time. The system collects additional public and private activity data and applies the model to determine whether there is an anomaly. The system may issue an alert in response to detecting an anomaly. | 03-17-2016 |