279 results about "Data science" patented technology

Share of Wallet (“SoW”) is a modeling approach that utilizes various data sources to provide outputs that describe a consumer's spending capability, tradeline history including balance transfers, and balance information. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new applicant evaluation, and customer management across the lifecycle. In addition to credit card companies, SoW outputs may be useful to companies issuing, for example: private label cards, life insurance, on-line brokerages, mutual funds, car sales/leases, hospitals, and home equity lines of credit or loans. “Best customer” models can correlate SoW outputs with various customer groups. A SoW score focusing on a consumer's spending capacity can be used in the same manner as a credit bureau score.

The invention discloses an information aggregation and a query method based on a geographic coordinate, including the following steps: original information related to geographic location is collected from the internet; geographic location information and hierarchical information are extracted from the collected original information to form an information entry; binding incident of the obtained information entry and the corresponding location of a geographic information system (GIS) is completed; according to the relation between the coordinate positions of the GIS, analysis and aggregation of the related information entry are completed; finally, the method responds to the two-dimensional query operation on an electronic map by a user and displays the query result in a two-dimensional mode. The invention has the advantages of convenient and rapid query, high query efficiency and intuitionistic query result.

A method for providing visual sequences using one or more images comprising:

• receiving one or more person images of showing at least one face,
• receiving a message to be enacted by the person, wherein the message comprises at least a text or a emotional and movement command,
• processing the message to extract or receive an audio data related to voice of the person, and a facial movement data related to expression to be carried on face of the person,
• processing the image/s, the audio data, and the facial movement data, and generating an animation of the person enacting the message.

Wherein emotional and movement command is a GUI or multimedia based instruction to invoke the generation of facial expression/s and or body part's movement.

The invention provides an intelligent-robot-oriented dialog system data processing method and device. The method comprises the following steps: 1) based on an obtained interaction topic sequence, extracting a target topic from the interaction topic sequence according to a preset rule; 2) determining a corresponding output module according to the attribute of the target topic, and based on a preset knowledge graph, generating correlation information according to the attribute of the target topic; and 3) generating feedback information corresponding to the target topic according to the correlation information and the output module. Through the method, the dialog system can initiate some related topics actively from time to time for questions of users to allow the users to think the dialog system can understand their dialogue information truly, so that man-machine interaction is allowed to be carried on, and user experience and user viscosity of the dialog system are improved.

A system and method for sorting music files based on moods are provided. The system includes a portable terminal for sorting stored music files based on moods, for changing mood information of a corresponding music file in response to a request to change mood of at least one of the music files, and for transmitting the mood change information to a mood analyzing server, and a mood analyzing server for receiving the mood change information, for updating mood judgment information that is standard information for determining mood of a music file based on the received mood change information, and for transmitting the updated mood judgment information to the portable terminal.

The present invention provides systems and methods for automatically identifying name-like-strings in digital resources, matching these name-like-string against a set of names held in an expertly curated database, and for those name-like-strings found in said database, enhancing the content by associating additional matter with the name, wherein said matter includes information about the names that is held within said database and pointers to other digital resources which include the same name and it synonyms.

A system and method are disclosed for an elastic and scalable publish/subscribe scheme. Subscription information is received at a dispatcher node. A plurality of matching nodes are selected in an overlay network to store the subscription information on a computer readable storage medium. Upon receiving an event at a dispatching node, at least one of the matching nodes with the stored subscription information is selected to process the event.

The invention relates to a social network-based content recommending method and system, relates to the field of information technology and mainly aims at recommending content that different types of users are interested in. The method comprises the steps: extracting features of social network data; calculating and recording interest weights of the features of the social network data for a certain type of users based on the behavior of the type of users for the social network data; extracting features of a plurality of the content to be recommended; searching the interest weights of the features of the plurality of the content to be recommended from the recorded features and interest weights, and calculating interest scores of the plurality of the content to be recommended for the type of users; and recommending the content for users of the type based on the level of the interest scores of the plurality of the content to be recommended for users of the type. By adopting the method, the interest of different types of users can be analyzed, and the content meeting interests of users is recommended to users.

The invention discloses a telecommunication fraud prevention system and method based on big data and machine learning. The system comprises a mobile terminal, a big data analysis terminal and a fraud interdiction governance terminal, wherein the mobile terminal is used for performing fraud detection determination on current telecommunication data according to predetermined constraint rules when receiving a short message or an incoming call message, a machine learning algorithm is adopted to detect whether the telecommunication data is a telecommunication fraud, and if the detection result is that the telecommunication data is determined as a telecommunication fraud, fraud data information is uploaded to the big data analysis terminal; the big data analysis terminal is used for performing real-time statistics on the fraud data information uploaded and reported from the mobile terminal and sending fraud early-warning information to the fraud interdiction governance terminal according to a bank card account or/and a phone number with the number of received reports exceeding a certain threshold value; and the fraud interdiction governance terminal is used for taking corresponding measures in time to interdict occurrence of a telecommunication fraud event when receiving the fraud early-warning information. The system can unite the mobile terminal, an operator, a public security institution, a bank and other institutions, quick and effective prevention can be realized, and the telecommunication fraud can be cracked down in time.

An object of the invention is an automated analysis system for analyzing at least one of scientific, technological and business information. The automated analysis system comprises means 100 for processing a data amount to accomplish a collection data form, means for structuring the collection data form describing the content of a source document, means for automatically identifying input documents in data warehouses comprising similar structured data forms as said structured collection data form, means for preprocessing and tokenizing said input documents, and the automated analysis system comprises a classification engine using the tokenized and preprocessed documents as input classifying each item of the input documents, and said means for processing, means for structuring, means for automatically identifying, means for preprocessing and tokenizing and said classification engine being configured to perform their tasks in one or more modelling round(s).

The invention discloses a question-answer interaction method for children stories. The method comprises the following steps: 1, a story interaction system judges an interaction type at the beginning of interaction between a child and the story interaction system, executes a step 2 if actively telling a story, and executes a step 3 if the story is requested; 2, the system acquires historical interaction information and child model information, and selects a story category and a story text from a children story library and a story question bank according to the historical interaction information and the child model information; 3, the system plays the selected story; 4, the system executes intelligent interaction operation under the guidance of intelligent story interaction control; 5, the system executes corresponding operation according to candidate SIDL interaction operation selected in the step 4; 6, the system acquires feedback information from the child, and records the historical interaction information; 7, the system updates the historical interaction information, and recalculates a story model according to the updated historical interaction information; 8, the system judges whether a story conversation ending condition is met or not, ends a story conversation if the story conversation ending condition is met, otherwise turns to the step 4 for re-execution.

The invention discloses a knowledge graph visual editing and persistence implementation method and system architecture. According to the method, persistence of a knowledge graph editing result is allowed to be achieved based on a specific visual knowledge graph layout file, SPARQL query and visual interactive editing are supported, and the editing result can be persisted into a universal knowledgegraph file or a visual graph layout file defined by the invention. The system architecture mainly comprises a foreground visualization map interaction module and a background map database managementmodule. According to the method, the semantic relationship between entities described in a structured manner in the knowledge graph is visually expressed by using a visualization technology; Meanwhile, the layout file of the visual knowledge graph is defined, so that a user can conveniently store and recover a visual result. According to the invention, support can be provided for realizing efficient communication and intuitive display in related work of the knowledge graph.

Systems and methods for dynamically responding to requests for information, derived from one or more data sources, relating to at least one event participant. A notification of a scheduled event is received at a server. The notification identities a plurality of individuals invited to attend or participate in an event. Data attributes relating to the event participants are retrieved from one or more data sources and stored. The data attributes can include personal attributes, professional attributes, and social interaction attributes. Before, during or after an event, requests are received and processed to provide event participants and other interested parties access to contextual information relating event participants to one another, the identities of event participants possessing one or more attributes, and lists of attributes for one or more known event participants. The requests can include images and sound recordings captured during the event.

The invention is suitable for the technical field of ice shape prediction, and provides a deep belief network-based airfoil profile icing ice shape prediction method and device. The method comprises the following steps: constructing and training a Fourier coefficient deep belief network model and an upper and lower limit deep belief network model in advance; performing data normalization on the icing condition to be predicted to obtain a normalized icing condition; inputting the normalized icing condition into the Fourier coefficient depth confidence network model and the upper and lower limitdepth confidence network model; substituting ai, bi, xiu and xil into an ice-shaped curve Fourier series expansion formula to obtain a wing-shaped icing ice-shaped curve; the Fourier coefficient deepbelief network model and the upper and lower limit deep belief network model are composed of a plurality of restricted Boltzmann machines and a BP neural network layer. According to the method, the network training time is greatly reduced, the network prediction precision is improved, and the technical problems that gradient disappearance and local minimization are likely to happen to a pure BP neural network are solved.

The invention discloses a network user behavior prediction system, and the system comprises a data collection and storage module, a data preprocessing module, a user network behavior analysis module and a data presentation module, wherein the data collection and storage module, the data preprocessing module, the user network behavior analysis module and the data presentation module are connected sequentially. The data collection and storage module is used for collecting and storing the useful mobile Internet data of a user through collection equipment. The data preprocessing module is used for carrying out the data clearing and cleaning of the useful data, filtering the data comprising noise and abnormality, forming an effective data set of user's behavior analysis, and enabling the effective data set to be transmitted to the user network behavior analysis module. The user network behavior analysis module is used for carrying out the arrangement and analysis of the effective data set, carrying out the analysis of the behaviors of the user, and outputting a user's behavior analysis result. The data presentation module is used for presenting the user's behavior analysis result to the user. The system supports the analysis and mining of a large amount of mobile Internet data of the user, and is good in prediction effect.

The invention provides a relational network construction method, a device and electronic equipment. The method includes the steps of acquiring locked suspects in a target case; acquiring target data related to the locked suspects, wherein the target data include communication text data and also include person relationship data and/or consumption record data; carrying out data analysis of the target data and determining target persons; determining person association information corresponding to a specified dimension among the locked suspects and the target persons according to the target data;and establishing the relational network of the target case according to the locked suspects and the target persons as well as the person association information. Data sources in the relational networkconstruction method, the device and the electronic equipment are extensive and are not limited to the communication text data, and also relate to the person relationship data and/or the consumption record data. Based on these data, the relational network is constructed, a single data source problem is solved, and the reliability and practicality of the relationship network are improved.

Disclosed are a natural person information setting method, an account information providing method and an electronic device. The natural person information setting method includes the steps of: according to an association degree index and an exclusive degree index of each account and other accounts, determining an associated set of each account; performing convergence processing on all associated sets, so as to allow the associated accounts in any two associated sets subjected to the convergence processing not to be repeated; and setting the same natural person information for the associated accounts in one and the same associated set subjected to the convergence processing, and performing one and the same natural person setting on the associated accounts in one and the same associated set according to the natural person information. Also disclosed are an account information providing method and an electronic device.