Abstract: Aspects of the subject disclosure may include, for example, receiving employee performance data for a group of employees including a particular employee, the employee performance data including particular performance data for the particular employee, the employee performance data associated with key performance indicator (KPIs) for the group of employees including a particular KPI associated with the a task performed by the particular employee; determining, for a plurality of training courses, a probability of each training course being associated with improved performance by the group of employees for each KPI of the KPIs; producing a probability distribution and a confidence score, recommending, based on the probability distribution, one or more recommended training courses for the employee; exploring, based on the confidence score, training courses of the plurality of training courses having a relatively low confidence score; receiving subsequent performance data for a time period following completion of t

Abstract: A method and apparatus for providing a recommendation for learning about an interest are disclosed. For example, the method receives a query for a recommendation for one or more articles for learning about an interest, determines whether the interest of the user is in a list of interests, wherein each particular interest is an interest for which a database contains at least one article for learning about the particular interest, wherein the database is used for storing for each particular article: the particular article and a normalized relationship score for the interest, retrieves from the database, one or more articles having the normalized relationship score related to the interest when the interest is in the list of interests, and presents the recommendation to an endpoint device of the user, wherein the recommendation comprises the one or more articles related to the interest that are retrieved.

Abstract: A method and apparatus for providing a recommendation for learning about an interest are disclosed. For example, the method receives a query for a recommendation for one or more articles for learning about an interest, determines whether the interest of the user is in a list of interests, wherein each particular interest is an interest for which a database contains at least one article for learning about the particular interest, wherein the database is used for storing for each particular article: the particular article and a normalized relationship score for the interest, retrieves from the database, one or more articles having the normalized relationship score related to the interest when the interest is in the list of interests, and presents the recommendation to an endpoint device of the user, wherein the recommendation comprises the one or more articles related to the interest that are retrieved.

Abstract: Associative matrix compression methods, systems, computer program products and data structures compress an association matrix that contains counts that indicate associations among pairs of attributes. Selective bit plane representations of those selected segments of the association matrix that have at least one count is performed, to allow compression. More specifically, a set of segments is generated, a respective one of which defines a subset, greater than one, of the pairs of attributes. Selective identifications of those segments that have at least one count are stored. The at least one count that is associated with a respective identified segment is also stored as at least one bit plane representation. The at least one bit plane representation identifies a value of the at least one associated count for a bit position of the count that corresponds to the associated bit plane.