  This article presents a re-classification of information seeking (IS) tasks,
concepts, and algorithms. The proposed taxonomy provides new dimensions to look
into information seeking tasks and methods. The new dimensions include the
number of search iterations, search goal types, and procedures to reach these
goals. Differences along these dimensions for the information seeking tasks
call for suitable computational solutions. The article then reviews machine
learning solutions that match each new category. The paper ends with a review
of evaluation campaigns for IS systems.
