A computer system measures trust of an entity in electronic documents from electronic media sources is described. A communication network is linked to one or more of the sources. A computer server is in communication with the communication network and is configured to receive electronic documents via the communication network. The computer server having a memory and a processor accessing a database. The memory includes processor executable instructions stored in the memory and executable by the processor. The computer executable instructions comprise preliminary term vector instructions, calculating instructions for determining the preliminary term vectors in the received electronic documents, and refined term vector instructions for defining a plurality of industry-specific term vectors.

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

A method comprising using at least one hardware processor to: generate a que of users willing to respond to queries; receive a query and a required number of responses from an application; and assign from the que a plurality of users to respond to the query, wherein the number of the plurality of users is based on the required number of responses and wherein the users are assigned based on a score that is indicative of a quality determination of prior responses for each of the plurality of users, wherein the score is based at least on positive feedback including investing, wherein investing comprises: displaying a list of all responses of a particular user, receiving a selection of a response from the list, receiving a payment representative of the investment, initiating an investigation; and providing a results of the investigation.

A system includes a purchase portal configured to receive a purchase order from a customer, wherein the purchase order includes a service from each of a plurality of service providers. When receipt of the purchase order is detected, a processor determines first and second ones of the service providers associated with the purchase order; and establishes a trust relationship between the first service provider and the second service provider in a context of the customer. The processor also sends a first request for a first trust artifact to the first service provider and a second request for a second trust artifact to the second service provider; receives the first trust artifact from the first service provider, receives the second trust artifact from the second service provider, sends the first trust artifact to the second service provider, and sends the second trust artifact to the first service provider.

A fish-quality determination system (1) analyzes, through machine learning, a relationship among image data taken of cross-sections of tails of fish, boat data indicating fishing boats that caught the fish, and quality data indicating quality of the fish. When having acquired, from a user device (3), image data of a cross-section of the tail of a fish subject to determination and boat data indicating a fishing boat that caught the fish, the system (1) uses, as an input, the image data of the cross-section of the tail of the fish subject to the determination and the boat data indicating the fishing boat that caught the fish that have been acquired so as to estimate and output quality of the fish subject to the determination on the basis of the analyzed relationship. The output quality of the fish subject to the determination is displayed on the user device (3).

A verification system is provided that can enable tracking of online advertisements with successful sales of goods or services. The system can receive an advertisement tag as part of a request by a user relating to the product or service, the advertisement tag comprising an identity of a publisher of an advertisement regarding a product or service offered by a vendor, the publisher being different from the vendor; determine a contribution of the publisher's advertisement to the request; and update a set of transaction data structures in an electronic record to associate the identified publisher and contribution with the request.

A communication networking system and a method of email communication is described, wherein a solicitor sends a solicitor communication to an email list a selected contact organization from a plurality of contact organizations listed on the website of the communication networking system for a fee; wherein the plurality of email list recipients of the contact organization's email list is not divulged to the solicitor. This communication networking system enables solicitor organizations and individuals to have access to the email recipients of contact organization's email list for soliciting support, information, business promotions, educational information, announcement and the like. Each contact organization may have associated geographical information, medical condition information and the like stored on the communication networking system database. A contact organization may be charitable or non-profit organization and the communication networking system may be configured to help individuals and organizations that support those with ailments or medical conditions.

The present invention relates to a system for providing genetic information-based personalized social content information, and a method thereof. Disclosed, according to one embodiment, is a system for providing genetic information-based personalized social content information, the system comprising: a genetic testing device unit which performs genetic testing for genetic physical characteristics and genetic disorders of a user; a solution management item provision unit which is installed in a management server, receives a genetic testing result as input from the genetic testing device unit, and, according to the inputted genetic testing result, provides solution management items including improvement methods for and worsening factors of the genetic physical characteristics and genetic disorders of the user; a solution performance checking unit which is installed in a communication terminal of the user, receives, from the user, inputs on whether each of the solution management items, provided by the solution management item provision unit, have been performed, and transmits same to the outside at every predetermined time period; and a user management state analysis and management unit which is installed in the management server, and analyzes and manages the degree of improvement and worsening of the genetic physical characteristics and genetic disorders of the user, according to results on whether the solution management items have been performed, which are received from the solution performance checking unit.

Provided is a patent transaction prediction method, comprising the following steps: obtaining to-be-predicted patent data(S1); constructing a prediction model, which is executed by a computer to predict a transaction probability of to-be-predicted patent data(S2); and displaying the transaction probability in a data attribute of the to-be-predicted patent data(S3). According to the method, the probability of patent transactions is displayed in the attribute of the patent data, improving the probability of patent transaction. Also provided are a patent transaction prediction system and a patent transaction platform, which also have the above-mentioned advantages.

The invention relates to a computer-implemented MRP method for controlling materials in a supply chain (SC) with customer segments (CS1, CS2). The invention is advantageous in that there is calculated a safety stock curve (SSC) in a time-phased manner (m, n) to cover an uncertainty until a demand is fulfilled based on customer data (CD) and material data (MD). The time until demand is fulfilled is a demand fulfilment time (DFT), the safety stock curve (SSC) being calculated as a function of this demand fulfilment time (DFT) in order to meet specified target service level (TSL1, TSL2) and simultaneously minimize inventory levels in said plurality of distribution centres (M_DC, DC2). The invention provides advances in MRP with respect to an optimum with demand compliance to required service levels while not unnecessarily increasing safety stock levels. Simulations convincingly demonstrate the effects of the invention.