发明名称 METHOD AND ARRANGEMENT FOR MONITORING COMPANIES
摘要 Method and arrangement for matching of enterprises and detection of changes for an enterprise by the use of mathematical models that make it possible to match and find similarities between enterprises and also discover changes in an enterprise. The method uses mathematical representation models for enterprises and is suited to make a large number of comparisons automatically. The characteristics of the enterprises are represented by different vectors. The direction and length of the vectors are compared by taking the scalar product between them. Changes for the characteristics of an enterprise appear as changes in the direction and length of the vectors. By continuously monitoring the derivative of the characteristics of the enterprises this show how large and how quickly a change has occurred. The market for the invention is local and global enterprises that wish to find new customers, partners, distributors or other business contacts and also discover changes for in their customers, partners or other business contacts so that they can get an early warning of larger changes that will have consequences for the relationship.
申请公布号 US2016019561(A1) 申请公布日期 2016.01.21
申请号 US201514870408 申请日期 2015.09.30
申请人 COMPANYBOOK AS 发明人 JELLUM Harald
分类号 G06Q30/02;G06F17/30 主分类号 G06Q30/02
代理机构 代理人
主权项 1. A method for comparing enterprises and detection of changes in an enterprise comprising server means adapted to use mathematical models that make it possible to match and find similarities between enterprises and also to discover changes in an enterprise and a database for storing the characteristics of the enterprises,the method comprising the following steps: a) a combination of information about an enterprise collected by search engine technology and where the characteristics of the enterprise are represented with the help of vector mathematics; b) wherein the search engine continuously reads the web pages of the enterprises, public enterprise registers, financial registers, news, forums, blogs, social networks and feedback from the user; c) wherein the information is categorised as characteristics within location, sector, market, product, services, organisation, finance or other relevant categories; d) and which are converted into mathematical vectors that represent the characteristics of the enterprise, the vectors being stored in the database; and e) wherein the enterprises are compared by comparing the scalar product between the characteristic vectors of the enterprise.
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