초록 ▼

Determining a relevancy ranking score is disclosed. An indication is received that a relevancy ranking score algorithm is to be tuned to a selected preference. The relevancy ranking score algorithm is updated based at least in part on the selected preference, wherein the relevancy ranking score of a

Determining a relevancy ranking score is disclosed. An indication is received that a relevancy ranking score algorithm is to be tuned to a selected preference. The relevancy ranking score algorithm is updated based at least in part on the selected preference, wherein the relevancy ranking score of a search result resulting from a search query is based at least in part on one or more constraints of the search query.

대표청구항 ▼

1. A system for determining a relevancy ranking score, comprising: a processor; anda memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to:receive an indication of a selection that a relevancy ranking

1. A system for determining a relevancy ranking score, comprising: a processor; anda memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to:receive an indication of a selection that a relevancy ranking score is to be tuned to a selected preference; andupdate a relevancy ranking score algorithm based at least in part on the indication of the selection of the selected preference, wherein the relevancy ranking score of a search result resulting from a search query is based at least in part on one or more constraints of the search query, wherein the relevancy ranking score of the search result is based at least in part on a currency score of the search result, wherein the currency score comprises a score indicating recent results relative to a date of interest associated with the search query, wherein the currency score is based at least in part on a currency function evaluating a date attribute, and wherein updating the relevancy ranking score includes adjusting a peak, a width, and a shape of the currency function, wherein the peak corresponds to a date of interest, wherein the width corresponds to an appropriate time scale width, and wherein the shape of the currency function includes a peaked shape. 2. The system of claim 1, wherein the relevancy ranking score is used to determine a search result ranking for a plurality of search results resulting from the search query. 3. The system of claim 1, wherein the memory is further configured to provide the processor with instructions which when executed cause the processor to calculate the relevancy ranking score for the search result based on the updated relevancy ranking score algorithm. 4. The system of claim 1, wherein the relevancy ranking score includes a conditional favoring of the search result with attribute B=‘Y’ if attribute A=‘X’. 5. The system of claim 1, wherein the search result is one of a plurality of search results from a plurality of search sources. 6. The system of claim 1, wherein updating the relevancy ranking score algorithm includes adding a constant to an element of the relevancy ranking score algorithm. 7. The system of claim 1, wherein updating the relevancy ranking score algorithm includes multiplying by a constant an element of the relevancy ranking score algorithm. 8. The system of claim 1, wherein updating the relevancy ranking score algorithm includes adding a function to an element of the relevancy ranking score algorithm. 9. The system of claim 1, wherein updating the relevancy ranking score algorithm includes multiplying by a function an element of the relevancy ranking score algorithm. 10. The system of claim 1, wherein the relevancy ranking score of the search result is based at least in part on a clarity score of the search result. 11. The system of claim 1, wherein the relevancy ranking score of the search result is based at least in part on one or more attributes that are synthesized from the search result. 12. A computer program product for determining a relevancy ranking score, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for: receiving an indication of a selection that a relevancy ranking score is to be tuned to a selected preference; andupdating a relevancy ranking score algorithm based at least in part on the indication of the selection of the selected preference, wherein the relevancy ranking score of a search result resulting from a search query is based at least in part on one or more constraints of the search query, wherein the relevancy ranking score of the search result is based at least in part on a currency score of the search result, wherein the currency score comprises a score indicating recent results relative to a date of interest associated with the search query, wherein the currency score is based at least in part on a currency function evaluating a date attribute, and wherein updating the relevancy ranking score includes adjusting a peak, a width, and a shape of the currency function, wherein the peak corresponds to a date of interest, wherein the width corresponds to an appropriate time scale width, and wherein the shape of the currency function includes a peaked shape. 13. A method of determining a relevancy ranking score, comprising: receiving an indication that a relevancy ranking score algorithm is to be tuned to a selected preference; andupdating, using a processor, the relevancy ranking score algorithm based at least in part on the selected preference, wherein the relevancy ranking score of a search result resulting from a search query is based at least in part on one or more constraints of the search query, wherein the relevancy ranking score of the search result is based at least in part on a currency score of the search result, wherein the currency score comprises a score indicating recent results relative to a date of interest associated with the search query, wherein the currency score is based at least in part on a currency function evaluating a date attribute, and wherein updating the relevancy ranking score includes adjusting a peak, a width, and a shape of the currency function, wherein the peak corresponds to a date of interest, wherein the width corresponds to an appropriate time scale width, and wherein the shape of the currency function includes a peaked shape. 14. The method of claim 13, wherein the relevancy ranking score is used to determine the search result ranking for a plurality of search results resulting from the search query. 15. The method of claim 13, further comprising calculating the relevancy ranking score for the search result based on the updated relevancy ranking score algorithm. 16. The method of claim 13, wherein the relevancy ranking score includes a conditional favoring of the search result with attribute B=‘Y’ if attribute A=‘X’. 17. The method of claim 13, wherein the search result is one of a plurality of search results from a plurality of search sources. 18. The method of claim 13, wherein updating the relevancy ranking score algorithm includes adding or multiplying by a constant or a function to an element of the relevancy ranking score algorithm. 19. The method of claim 13, wherein the relevancy ranking score of the search result is based at least in part on one or more attributes that are synthesized from the search result.