Patent ID: 7231375
Filing Date: 2007-06-12
Classification: G06F

Abstract:
1. An annotating system for aiding a user in performing bulk mapping of queries to tasks to update training data for training a search component, the annotating system comprising: a query log containing a plurality of queries which have previously been submitted to a search engine; a task list containing a plurality of possible tasks; a training data store containing training data; a machine learning component which suggests best guess query-to-task mappings for multiple query entries as a function of the training data; and a graphical user interface generating component which concurrently displays multiple query entries of the plurality of query entries in the query log in a manner which associates each of the displayed plurality of query entries with its corresponding suggested best guess task of the displayed task list and associated best guess probability; wherein when the graphical user interface generating component receives a first type of input from the user to map a particular query entry of the multiple concurrently displayed query entries to its corresponding suggested best guess task, the machine learning component updates the training data by mapping the particular query entry to the suggested best guess task to provide updated training data and stores the updated training data in the training data store for use in training at least one search component.