Embodiments of the present invention provide a system, method, and program product for predicting the classification of a work-item notification generated by an issue tracking system. A computing device analyzes a new work-item notification using a trained binary classifier that was trained using at least a past and/or current work-item history that was collected as a tuple that includes information reflecting the workitem-ID, actor, timestamp, attribute, work-item start-value, and work-item end-value. The computing device, in response to analyzing the new work-item notification, predicts a classification of the new work-item notification. In an embodiment, the classification is used for display of the new work-item notification.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for predicting a classification of a work-item notification, the method comprising: a computing device analyzing a new work-item notification using a trained binary classifier that was trained using at least a past and/or current work-item history that was collected as a tuple that includes the following information: workitem-ID, actor, timestamp, attribute, work-item start-value, and work-item end-value; and the computing device, in response to analyzing the new work-item notification, predicting a classification of the new work-item notification, wherein the classification is used for display of the new work-item notification. 2. The method of claim 1, wherein the trained binary classifier was trained using at least a work-item snapshot, a user profile, a description of the past and/or current work-item notification, a binary classification scheme, a user commit profile, or a user-user relationship. 3. The method of claim 2, wherein the work-item snapshot references a work-item and includes information that describes a state of the referenced work-item at a particular point in time. 4. The method of claim 2, wherein the work-item snapshot includes a time-stamped set of attribute value pairs, wherein each attribute includes a name and a type, wherein the type is single-valued or multi-valued. 5. The method of claim 2, wherein the user profile includes information that identifies a work-item a user owns and/or subscribes to and quantifies actions taken by the user on the work-item. 6. The method of claim 2, wherein the binary classification scheme is one of the following pairs: important or unimportant; or relevant or non-relevant. 7. The method of claim 2, wherein the user commit profile is time-stamped and reflects at least one of the following: a user identification; a timestamp; a package name; or a commit number. 8. The method of claim 2, wherein the user-user relationship profile includes information that quantifies how many times a user acts on a work-item immediately after another user.