1. A computer-implemented method in a computer system of improving ranking results for a data crawl, the method comprising: selecting, at a processor associated with a computer system, an attribute to be used in adjusting the ranking results for a query; running, using the processor, a query against at least one data source and generating a set of query results, each query result having a relevancy score relating to the query; adjusting, using the processor, the relevancy scores of the query results based on the selected attribute; and returning, using the processor, the query results with the adjusted relevancy scores in response to the query, wherein the query results are ordered by integer number keys, each key having a high segment of digits occupied by a relevancy score and a lower segment of digits occupied by a recency, such that the lower segment of digits is enabled as a score tie breaking factor.
1. A computer-implemented method in a computer system of improving ranking results for a data crawl, the method comprising: selecting, at a processor associated with a computer system, an attribute to be used in adjusting the ranking results for a query; running, using the processor, a query against at least one data source and generating a set of query results, each query result having a relevancy score relating to the query; adjusting, using the processor, the relevancy scores of the query results based on the selected attribute; and returning, using the processor, the query results with the adjusted relevancy scores in response to the query, wherein the query results are ordered by integer number keys, each key having a high segment of digits occupied by a relevancy score and a lower segment of digits occupied by a recency, such that the lower segment of digits is enabled as a score tie breaking factor. 7. A method according to claim 1 , wherein the recency of each key includes a last modified date.