Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: training of a machine learning model for predicting a rating in certain content rating systems based on training data. The machine learning model includes a plurality of maturity classifiers corresponding to individual features of the previously rated contents. An input content is obtained and features of the input content are extracted by use of respective content analysis tools and subsequently classified by the maturity classifiers of the machine learning model.

Abstract: In some examples, a server may receive, from a computing device, an error message generated by an executable file that is being executed by the computing device. The server may create, based at least in part on the error message, a search query and perform a search of one or more resources, such as, for example, knowledgebase(s), coding-related forum(s), and the like. The server may receive search results associated with the search query and rank the search results based on one or more criteria to create ranked results. For example, a particular result of the ranked results may include (1) a link to a page that includes a potential solution to an error that caused the error message to be generated and (2) a rank identifying a relevancy of the potential solution to the error. The server may send the ranked results to the computing device.

Abstract: In some examples, a server may receive, from a computing device, an error message generated by an executable file that is being executed by the computing device. The server may create, based at least in part on the error message, a search query and perform a search of one or more resources, such as, for example, knowledgebase(s), coding-related forum(s), and the like. The server may receive search results associated with the search query and rank the search results based on one or more criteria to create ranked results. For example, a particular result of the ranked results may include (1) a link to a page that includes a potential solution to an error that caused the error message to be generated and (2) a rank identifying a relevancy of the potential solution to the error. The server may send the ranked results to the computing device.