Word: algorithmically
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Dates: during 2000-2009
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...someone worth knowing.” Xu’s comments echo a view that the HCS student leaders seem to have grasped fully: Datamatch is not exactly serious business. HCS President Steven M. Melendez ’07 indicated that those looking for real love through an algorithm may be barking up the wrong tree. He said that Datamatch is simply a “fun activity” that offers the bonus of a bona fide compatibility comparison with fellow undergraduates. HCS Project Director Grant W. Dasher ’09 offered some insight into the juiciest...
...bunch of technical musical stuff that I don't entirely get. Their technique isn't untried-they've been building systems with this sort of recommendation system for clients like Barnesandnoble.com for years. Because every song is evaluated by a human rather than a machine using a simple algorithm ("people who buy A often also buy B"), and because the humans involved are actually trained experts with real-life musical composition experience, the recommendations are more appropriately targeted...
...into place. That means the number of organs actually donated is less than the number being offered. "The matching programs that exist are not efficient," says Segev, whose optimized matching system, developed with Gentry, was published in the Journal of the American Medical Association in April. Based on an algorithm created by the Canadian mathematician Jack Edmonds in 1965, the system improves paired donation by ensuring the maximum number of matches while still factoring in age, location and willingness to travel. Segev estimates that if only 7% of kidney-transplant hopefuls participated in a national program, the health-care system...
...analyze Chicago’s test scores, Levitt looked for trends typical of a cheating teacher and developed an algorithm to identify them. Levitt—working with Kennedy School Assistant Professor Brian A. Jacob ’92—flagged classrooms in which students’ exams evinced unusual strings of identical answers in the middle of the test. The researchers found that some teachers were actually altering their students’ tests—erasing wrong answers and filling in the correct bubbles themselves—to boost scores. The study resulted in six teachers being fired...
...currently working on creating an algorithm that helps producers have more efficient and profitable releases...