1. A computer-implemented method for processing query data comprising: receiving, from a client over a network a portion of a query, wherein the portion of the query is not formerly issued by the user that initiated the query; before any predicted queries are provided to the client and in response to receiving the portion of the query determining, based on the portion of the query, a set of one or more predicted queries that correspond to the portion of the query; selecting, based upon selection criteria, a particular predicted query from the set of one or more predicted queries; processing the particular predicted query to obtain search results; and providing both the set of one or more predicted queries and the search results to the client over the network; wherein determining the set of one or more predicted queries includes: determining a plurality of potential predicted queries; for each query of the plurality of potential predicted queries: searching a first database to determine a first value that indicates how often said each query was issued during a first period of time; searching a second database to determine a second value that indicates how often said each query was issued during a second period of time that occurred temporally before or after the first period of time; scaling the first value by a scale factor to generate a scaled value: generating a resulting value based on the scaled value and the second value; and associating the resulting value with said each query: and using the resulting value of each query of the plurality of potential predicted queries to determine the set of one or more queries from the plurality of potential predicted queries.
1. A computer-implemented method for processing query data comprising: receiving, from a client over a network a portion of a query, wherein the portion of the query is not formerly issued by the user that initiated the query; before any predicted queries are provided to the client and in response to receiving the portion of the query determining, based on the portion of the query, a set of one or more predicted queries that correspond to the portion of the query; selecting, based upon selection criteria, a particular predicted query from the set of one or more predicted queries; processing the particular predicted query to obtain search results; and providing both the set of one or more predicted queries and the search results to the client over the network; wherein determining the set of one or more predicted queries includes: determining a plurality of potential predicted queries; for each query of the plurality of potential predicted queries: searching a first database to determine a first value that indicates how often said each query was issued during a first period of time; searching a second database to determine a second value that indicates how often said each query was issued during a second period of time that occurred temporally before or after the first period of time; scaling the first value by a scale factor to generate a scaled value: generating a resulting value based on the scaled value and the second value; and associating the resulting value with said each query: and using the resulting value of each query of the plurality of potential predicted queries to determine the set of one or more queries from the plurality of potential predicted queries. 11. The computer-implemented method of claim 1 , comprising the steps of: receiving from the client over the network the portion of the query and a subsequent portion of the query; determining a second set of one or more predicted queries that corresponds to the portion of the query and the subsequent portion of the query; and selecting, based upon selection criteria, a subsequent particular predicted query from the second set of one or more predicted queries, wherein the subsequent particular predicted query is not processed to obtain search results if the subsequent particular predicted query is the same as the previous particular predicted query.