Selective content dissemination

A computer program product for selectively disseminating content over a network, the computer program product comprising a non-transitory computer readable storage device having program instructions embodied therewith, the program instructions readable and executable by a computer to perform a method comprising:

• parsing a first document into first content sections, wherein the first content sections are parsed according to a first set of topics, and wherein each of the first content sections is devoted to a particular first topic from the first set of topics;
• parsing a test document into second content sections, wherein the second content sections are parsed according to a second set of topics, wherein each of the second content sections is devoted to a particular second topic from the second set of topics, and wherein the test document is known to contain a predefined level of test new information beyond that presented in the first document;
• comparing one or more of the second content sections to one or more of the first content sections;
• generating a relevance parameter for the test document based on the comparing of the one or more second content sections to the one or more of the first content sections, wherein the relevance parameter is a summation of a weighted value for a document name of the test document as weighted by a first weight, a weighted value for a document subject of the test document as weighted by a second weight, a weighted value of an age of the test document as weighted by a third weight, a weighted value for a quantity of test document sections that provide more than a first level of the test new information for a user as weighted by a fourth weight, a weighted value for a quantity of the test document sections that provide the test new information for the user that is within a second level range as weighted by a fifth weight, and a weighted value for a quantity of the test document sections that provide less than a third level of the test new information for the user as weighted by a sixth weight;
• adjusting the first weight, the second weight, the third weight, the fourth weight, the fifth weight, and the sixth weight until the relevance parameter exceeds a predefined relevance parameter value in order to create a verified weighted relevance parameter;
• utilizing the verified weighted relevance parameter to identify and retrieve, via a network, only one or more new documents that have a relevance parameter that exceeds the verified weighted relevance parameter in order to provide, for the user, new information from the one or more new documents for which the user has a level of expertise that is below a predetermined level;
• and
• displaying only the new information from the one or more new documents to the user.

A computer system comprising one or more processors, one or more computer readable memories, and one or more computer readable storage mediums, and program instructions stored on at least one of the one or more computer readable storage mediums for execution by at least one of the one or more processors via at least one of the one or more computer readable memories, the stored program instructions comprising:

• program instructions to parse a first document into first content sections, wherein the first content sections are parsed according to a first set of topics, and wherein each of the first content sections is devoted to a particular first topic from the first set of topics;
• program instructions to parse a test document into second content sections, wherein the second content sections are parsed according to a second set of topics, wherein each of the second content sections is devoted to a particular second topic from the second set of topics, and wherein the test document is known to contain a predefined level of test new information beyond that presented in the first document;
• program instructions to compare one or more of the second content sections to one or more of the first content sections
• program instructions to generate a relevance parameter for the test document based on the comparing of the one or more second content sections to the one or more of the first content sections, wherein the relevance parameter is a summation of a weighted value for a document name of the test document as weighted by a first weight, a weighted value for a document subject of the test document as weighted by a second weight, a weighted value of an age of the test document as weighted by a third weight, a weighted value for a quantity of test document sections that provide more than a first level of the test new information for a user as weighted by a fourth weight, a weighted value for a quantity of the test document sections that provide the test new information for the user that is within a second level range as weighted by a fifth weight, and a weighted value for a quantity of the test document sections that provides less than a third level of the test new information for the user as weighted by a sixth weight;
• program instructions to adjust the first weight, the second weight, the third weight, the fourth weight, the fifth weight, and the sixth weight until the relevance parameter exceeds a predefined relevance parameter value in order to create a verified weighted relevance parameter;
• program instructions to utilize the verified weighted relevance parameter to identify and retrieve, via a network, only one or more new documents that have a relevance parameter that exceeds the verified weighted relevance parameter in order to provide, for the user, new information from the one or more new documents for which the user has a level of expertise that is below a predetermined level;
• and
• program instructions to display only the new information from the one or more new documents to the user.