Abstract: Embodiments for generating personalized advice to a user by a processor. A health state of a user may be learned from feedback information collected from a plurality of data sources for providing one or more customized communications. One or more customized communications may be provided to a user to alter one or more activities of the user so as to avoid one or more possible negative impacts upon the health state of the user.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for transposing ranking models. The method includes computer processors determining an initial ranking modeling framework for a record based on analyzing data from a plurality of sources. The record includes a plurality of objects and an object includes at least one feature. The method further includes computer processors determining a mapping of relationships between features included in the record. The method further includes computer processors identifying a user selection of a feature. The method further includes computer processors determining a transposition path between the user selected feature and a set of features having a determined mapped relationship to the user selected feature. The method further includes computer processors modifying ranking information associated with features included in the determined transposition path.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for transposing ranking models. The method includes computer processors determining an initial ranking modeling framework for a record based on analyzing data from a plurality of sources. The record includes a plurality of objects and an object includes at least one feature. The method further includes computer processors determining a mapping of relationships between features included in the record. The method further includes computer processors identifying a user selection of a feature. The method further includes computer processors determining a transposition path between the user selected feature and a set of features having a determined mapped relationship to the user selected feature. The method further includes computer processors modifying ranking information associated with features included in the determined transposition path.

Abstract: Embodiments for generating personalized advice to a user by a processor. A health state of a user may be learned from feedback information collected from a plurality of data sources for providing one or more customized communications. One or more customized communications may be provided to a user to alter one or more activities of the user so as to avoid one or more possible negative impacts upon the health state of the user.