1. In a computing environment, a method performed at least in part on at least one processor, comprising, applying a task-based assessment metric to a search engine implementation, including, examining user activities associated with the search engine implementation, classifying atomic events into tasks by measuring similarity between at least some of the user activities, and evaluating each task in accordance with the task-based assessment metric to determine indicia of search engine implementation performance comprising a task success rate for the search engine implementation, including applying the task-based assessment metric to the tasks to produce a statistical distribution and comparing the statistical distribution corresponding to the search engine implementation with a distribution corresponding to another search engine implementation to generate a comparison result.
1. In a computing environment, a method performed at least in part on at least one processor, comprising, applying a task-based assessment metric to a search engine implementation, including, examining user activities associated with the search engine implementation, classifying atomic events into tasks by measuring similarity between at least some of the user activities, and evaluating each task in accordance with the task-based assessment metric to determine indicia of search engine implementation performance comprising a task success rate for the search engine implementation, including applying the task-based assessment metric to the tasks to produce a statistical distribution and comparing the statistical distribution corresponding to the search engine implementation with a distribution corresponding to another search engine implementation to generate a comparison result. 2. The method of claim 1 , wherein evaluating the each task further comprises computing the task success rate for the search engine implementation.