Thus, for a query consisting of only one term (B), the probability that a particular document (Dm) will be judged relevant is the ratio of users who submit query term (B) and consider the document (Dm) to be relevant in relation to the number of users who submitted the term (B). As represented in Maron’s and Kuhn’s model, can be represented as the probability that users submitting a particular query term (B) will judge an individual document (Dm) to be relevant.