357 results about "Match method" patented technology

The invention provides an intelligent disease attribute matching method. Physical signs and examination data of patients are utilized to create an intelligent disease attribute matching model used for auxiliary diagnosis and treatment scheme accommodation. The method has the advantages that different from a conventional keyword-based searching method, the intelligent disease attribute matching method and system can diagnose illness state according to the physical signs and examine index information, meanwhile the corresponding treatment scheme accommodations are acquired for providing references to diagnosis and treatment of doctors, and efficiency of diagnosis and treatment is increased.

A system for selecting electronic advertisements from an advertisement pool to match the surrounding content is disclosed. To select advertisements, the system takes an approach to content match that takes advantage of machine translation technologies. The system of the present invention implements this goal by means of simple and efficient machine translation features that are extracted from the surrounding context to match with the pool of potential advertisements. Machine translation features used as features for training a machine learning model. In one embodiment, a ranking SVM (Support Vector Machines) trained to identify advertisements relevant to a particular context. The trained machine learning model can then be used to rank advertisements for a particular context by supplying the machine learning model with the machine translation features measures for the advertisements and the surrounding context.

The invention provides a resume position matching method and device, wherein the resume position matching method comprises the steps of traversing all resume data in a resume database according to job description information preset by an enterprise user; determining first match scores of structural data of all the resume data and the job description information as well as second match scores of unstructured data and the job description information; weighing the first match scores and the second match scores to obtain match scores of the job description information and all the resume data; and a resume datum of which the match score exceeds a preset threshold is pushed to the enterprise user. According to the resume position matching method and the device provided by the invention, the recruitment efficiency of the enterprise user and the applying efficiency of an individual user are effectively improved.

The invention relates to an order matching method and device. The method comprises the steps that question types selected by users are received, and all pieces of order information corresponding to account numbers of the users are inquired; according to the question types and order states of all the pieces of order information, by means of combination with the corresponding relation between the question types stored in advance and the order states, corresponding orders are matched. According to the method and the device, the corresponding relation between the question types which the users need to ask and the order states is preset, as long as the users select the question types, the suitable orders can be matched, and therefore the order screening efficiency is greatly improved; moreover, an information feedback list can be generated according to order operation of the users, so that service staff can follow up the order requirements of the users in time; the phenomenon that the users contact the service staff through telephone calls is avoided, the telephone traffic can be reduced, and the communication cost can be saved.

An advanced dynamic stitching method for multi-lens camera system is disclosed. This invention aims to address the parallax phenomenon which exists in a multi-lens camera system. Stitching points vary with the object distance. In a video stitching system, a fast search engine to update the stitching points dynamically is needed. This invention provides an advanced method to reduce the high computation power required for the traditional block matching method of finding stitching points. As a result, the stitching points can be adjusted dynamically with the method of this invention.

The present invention relates to an order matching method. The method comprises: a transaction matching platform is established; user intelligent terminals log in the transaction matching platform to release transaction information; merchant clients browser the transaction information and initiate request links to the user intelligent terminals with intentions, of which the transaction information is met; the user intelligent terminals select the required merchant clients from a plurality of request links, and establish bidirectional links; source lists are generated according to the bidirectional links, so that online transaction can be performed or offline transaction can be ordered; the user intelligent terminals and the merchant clients need to pay cash deposit, entrust the transaction matching platform to reserve, and sign a third-party electronic contract; and both parties confirm the transaction at the same time to complete transaction matching. The order matching method has the beneficial effects that a room is reserved through network order matching and selection is carried out according to expected hotel environment, facilities and price, so that maximized guarantee is brought to consumers; and a basic room rate is paid with the lowest price so as to ensure the basic checking-in requirement of the room, extra additional conditions are combined, the selection range is wider.

A rate matching method allowing reliable digital communication is disclosed. After setting D=|n-m| and Q=n / D, the input symbol string is sequentially divided to produce D symbol strings each consisting of either Q symbols or (Q+1) symbols so as to arrange the input symbols in an arrangement of columns (C) and rows (R). Then, after selecting a single symbol located at a predetermined position for each of the D symbol strings, the output symbol string is provided by deleting the single symbol for each of the D symbol strings when n>m or repeating the single symbol for each of the D symbol strings when n<m.