1. A computer-implemented method comprising: receiving, in a user interface, a first concept and a second concept, wherein the first concept is associated with a first plurality of related terms and the second concept is associated with a second plurality of related terms; querying a data store comprising a plurality of segments based at least on the first concept and the second concept to retrieve a result set, the result set comprising a first segment and a second segment from the plurality of segments; determining a first quantity of occurrences of the first concept in the first segment, and a second quantity of occurrences of the second concept in the first segment; accessing first statistical distribution data associated with occurrences of the first concept within the plurality of segments, and second statistical distribution data associated occurrences of with the second concept within the plurality of segments; determining a ranking of the first segment relative to the second segment by at least: generating a first weight by comparing the first quantity of occurrences against the first statistical distribution data; generating a second weight by comparing the second quantity of occurrences against the second statistical distribution data; and combining the first weight with the first quantity of occurrences, and the second weight with the second quantity of occurrences; calculating a first recency score associated with the first segment, wherein the ranking is based at least on the first recency score; and causing presentation, in the user interface, of the first segment relative to the second segment according to the ranking.
1. A computer-implemented method comprising: receiving, in a user interface, a first concept and a second concept, wherein the first concept is associated with a first plurality of related terms and the second concept is associated with a second plurality of related terms; querying a data store comprising a plurality of segments based at least on the first concept and the second concept to retrieve a result set, the result set comprising a first segment and a second segment from the plurality of segments; determining a first quantity of occurrences of the first concept in the first segment, and a second quantity of occurrences of the second concept in the first segment; accessing first statistical distribution data associated with occurrences of the first concept within the plurality of segments, and second statistical distribution data associated occurrences of with the second concept within the plurality of segments; determining a ranking of the first segment relative to the second segment by at least: generating a first weight by comparing the first quantity of occurrences against the first statistical distribution data; generating a second weight by comparing the second quantity of occurrences against the second statistical distribution data; and combining the first weight with the first quantity of occurrences, and the second weight with the second quantity of occurrences; calculating a first recency score associated with the first segment, wherein the ranking is based at least on the first recency score; and causing presentation, in the user interface, of the first segment relative to the second segment according to the ranking. 2. The computer-implemented method of claim 1 , wherein determining the ranking of the first segment relative to the second segment further comprises: calculating a first value by multiplying the first quantity of occurrences and the first weight; and calculating a second value by multiplying the second quantity of occurrences and the second weight, wherein the ranking is based at least on the first and second values.