The present teaching relates to exploring a personal interest space based on a decision tree. In one example, information related to a personal interest space associated with a user is obtained. The personal interest space includes at least one channel of content that the user is interested in. A decision tree created based on information related to a plurality of users with respect to a plurality of channels of content is obtained. Each node of the decision tree is associated with at least one of the plurality of channels of content. A first node of the decision tree is identified based on the information related to the personal interest space associated with the user. A question for the user in connection with the first node of the decision tree is determined. An answer to the question is received from the user. A second node of the decision tree is identified based on the answer. The personal interest space associated with the user is updated based on the at least one channel of content associated with the second node of the decision tree.

A vehicle noise cancellation system and method, operable for: receiving local contextual information affecting a soundwave present in a vehicle; receiving remote contextual information affecting the soundwave present in the vehicle; receiving vehicle occupant information; processing the local contextual information, the remote contextual information, and the vehicle occupant information to generate an augmented anti-soundwave; and delivering the augmented anti-soundwave to an occupant of the vehicle to mitigate the soundwave present in the vehicle. Delivering the augmented anti-soundwave to the occupant of the vehicle to mitigate the soundwave present in the vehicle may include delivering the first augmented anti-soundwave to an occupant present in the first zone of the vehicle and delivering the second augmented anti-soundwave to an occupant present in the second zone of the vehicle using a plurality of speakers.

In order to efficiently and rigorously enumerate the combinations of logical formulas that lead to a contradiction with the background knowledge for each hypothesis, the information processing apparatus 1 includes the acquisition unit 2 that acquires the contradiction determination function having a data structure that expresses a combination of logical formulas that contradict the background knowledge, and the potential contradiction enumeration unit 3 enumerates the potential contradiction set, in which literals that contradict the background knowledge in the solution candidate set are combined, by using the contradiction determination function.

Altering an automated conversation system by receiving automatic conversation log data, generating a decision tree from the data, summarizing child node data for a node of the decision tree, generating node response variations according to the child node data of the node, and altering the automatic conversation according to the node response variations.

A user may respond to a request of another user by entering text, such as a customer service representative responding to a customer. As the user enters text, a suggested completion of the text may be suggested to the user so that the user may select the suggested completion instead of continuing to enter text. Previous messages between the two users and other information may be used to determine an appropriate suggested completion to the entered text. A neural network language model and a search graph may be used to select a suggested completion from a search graph of possible suggested completions.

Provided are a device and method for predicting product properties of a naphtha splitting unit (NSU). The method includes training a prediction model for predicting the product properties of the NSU, inputting an input variable to the trained prediction model to acquire a prediction value for each output variable, and outputting the acquired prediction values for the output variables.

A control system for turbine systems configured to provide accurate interpretations of detected particle accumulation, improve performance of turbine systems, and/or minimize costs due to downtime and maintenance are disclosed. The control system may build an intelligent model of fluid flow based on measured data provided by a sensor in a fluid flow path of the turbine system. The intelligent model consults a filter efficiency framework and determines an impact value that quantifies an operational efficiency of the turbine system and may identify a location of possible leakage, estimate a total amount of ingress of particles, identify components of the turbine system that may be operating in a diminished capacity, estimate a risk of damage to components of the turbine system, and/or recommend mitigation actions.

Method and system for assessing the suitability of an entity using a proxy. A description of a behavior associated with a desirable audience is received. A proxy behavior estimated to be characteristic of the desirable audience is selected. The proxy behavior comprises the performance of proxy events related to the consumption of media received by an entity over a network, which can be found in an entity's consumption history. An entity can be assessed for inclusion in a proxy audience, by examining the entity's consumption history for proxy behaviors. A behavioral model is built using a training set comprising the proxy audience. By applying the behavioral model to the consumption history of a specified entity, the specified entity's suitability for selection can be determined. Advantageously, in an embodiment, the invention enables the use of behavioral modeling techniques even when the complete behavior of the desirable audience is not available.

Embodiments of this disclosure relate to a method, a device and a computer program product for data protection. The method comprises determining objects selected by a user in a set of objects, and automatically generating one or more corresponding filtering conditions according to the objects selected by the user. The method further comprises automatically setting a predetermined protection policy for objects meeting the filtering conditions in the set of objects. In the embodiments of this disclosure, corresponding filtering conditions are automatically generated according to some protected objects selected by a user to form a dynamic filter, without manually setting the filtering conditions by the user, thereby improving the user experience of a data protection system.

A computer system obtains, using a camera, a first plurality of images of a canopy an agricultural plot. For each respective fruit of a plurality of fruit growing in the agricultural plot, the computer system identifies a first respective image in the first plurality of images that comprises the respective fruit. The first respective image has a corresponding first camera location. The computer system also identifies a second respective image in the first plurality of images that comprises the respective fruit. The second respective image has a corresponding second camera location. The computer system uses at least i) the first and second respective images and ii) a distance between the first and second camera locations to determine a corresponding size of the respective fruit.