1. A computer-implemented method comprising: employing a processor executing computer-executable instructions stored on a computer-readable storage medium to implement the following acts: computing a statistical predictive model of a user's web page revisit interval based at least on the user's historical pattern of access to a web page, the user's pattern of access is determined using data collected in connection with a plurality of the user's past accesses to the web page; using inferred user revisit intervals derived from the predictive model to distinguish between an automated refresh of the web page and a request for access to the web page by the user; and determining a probability of information associated with the web page having value to a user given evidence of the user's interest in the web page, the probability formulated as: 
 Pr(Information Value |E±, Ez,. .. Ej_), wherein Pr is the probability, Information Value relates to an importance of the site and topic to the user given evidence E relating to attributes of information importance, and J being an integer, the evidence including at least one of: how much time the user spends observing the web page; higher-level topic of the web page viewed; interactivity with the web page; and a consideration of navigation efforts of a user to navigate to the web page; comparing a log of accesses to the web page with a statistical mode of a probability distribution of the user's revisit intervals for a respective URL; and discarding accesses in the log that are within a tolerance of the statistical mode when at least 10% of the intervals between logged accesses belong to the mode.