Embodiments are disclosed herein for quantifying and presenting information representative of technological improvements in a technological domain based on patent metrics that may include receiving a request for a patent-based technological improvement rate in a target technological domain, selecting a set of patents representative of the technological domain from an online search of a patent database over a network, storing patent metadata in a memory for the set of patents received over the network from the online search of the patent database, calculating values for one or more patent metrics from the patent metadata for the technological domain, calculating the patent-based technological improvement rate for the technological domain by applying a predictive model to the one or more patent metric values for the technological domain, and communicating the patent-based technological improvement rate through an output communication interface for presentation through an output of an end user computing device.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A server computing device for quantifying and presenting information representative of technological improvements in a target technological domain based on patent metrics, comprising a processor coupled to a memory, wherein the processor is configured with processor-executable instructions to cause the server computing device to: receive a request for a patent-based technological improvement rate through an input communication interface, the request including information for identifying a target technological domain; select a set of patents representative of the target technological domain from an online search of a patent database over a network; store patent metadata in a memory for the set of patents received over the network from the online search of the patent database; calculate values for one or more patent metrics from the patent metadata for the target technological domain; calculate the patent-based technological improvement rate for the target technological domain by applying a predictive model to the one or more patent metric values for the target technological domain; and communicate the patent-based technological improvement rate through an output communication interface for presentation through an output of an end user computing device. 2. The server computing device of claim 1, wherein the processor is further configured with processor-executable instructions to cause the server computing device to: receive a request through the input communication interface to forecast one or more values associated with a functional performance metric in the target technological domain; obtain a reference value for the functional performance metric at a reference time in the target technological domain; obtain the patent-based technological improvement rate for the target technological domain; calculate the one or more requested forecast values for the technological domain according to an exponential function that increases over time at the patent-based technological improvement rate; and communicate the one or more requested forecast values associated with the functional performance metric over an output communication interface for presentation at an output of an end user computing device. 3. The server computing device of claim 1, wherein each of the one or more patent metrics correlates to technological improvement rates that are calculated based on historical functional performance metrics across a plurality of technological domains, wherein each of the one or more patent metrics has a Pearson correlation coefficient greater than 0.50. 4. The server computing device of claim 3, wherein the predictive model is derived from a regression analysis between values calculated for the one or more patent metrics across a plurality of technological domains and the technological improvement rates that are calculated based on historical functional performance metrics across the plurality of technological domains. 5. The server computing device of claim 1, wherein the one or more patent metrics are selected from the group consisting of an average number of forward citations within three years of publication per patent in the set of patents (FwdCit3), an average publication date of backward citations per patent in the set of patents (PubYearBkwdCit), an average age of backward citations per patent in the set of patents (AgeBkwdCit), an average publication date of the set of patents (PubYear), and an average number of forward citations per patent in the set of patents (FwdCit). 6. The server computing device of claim 1, wherein the one or more patent metrics comprise an average number of forward citations within three years of publication per patent in the set of patents (FwdCit3) and an average publication date of the set of patents (PubYear), the predictive model for the patent-based technological improvement rate (k) being defined as k=−31.12+0.02*PubYear+0.14*FwdCit3. 7. The server computing device of claim 1, wherein the one or more patent metrics comprise an average number of forward citations per patent in the set of patents (FwdCit) and an average publication date of backward citations per patent in the set of patents (PubYearBkwdCit), the predictive model for the patent-based technological improvement rate (k) being defined as k=−41.37+0.014*FwdCit+0.020*PubYearBkwdCit. 8. The server computing device of claim 1, wherein the one or more patent metrics comprise an average number of forward citations per patent in the set of patents (FwdCit), an average publication date of the set of patents (PubYear), and an average age of backward citations per patent in the set of patents (AgeBkwdCit), the predictive model for the patent-based technological improvement rate (k) being defined as k=−47.1+0.015*FwdCit+0.024*PubYear+(−0.018)*AgeBkwdCit. 9. The server computing device of claim 1, wherein the request includes information for identifying the target technological domain and at least one alternative technological domain. 10. A computerized method for quantifying and presenting information representative of technological improvements in a target technological domain based on patent metrics, comprising: receiving, by a server computing device, a request for a patent-based technological improvement rate through an input communication interface, the request including information for identifying a target technological domain; selecting, by the server computing device, a set of patents representative of the target technological domain from an online search of a patent database over a network; storing, by the server computing device, patent metadata in a memory for the set of patents received over the network from the online search of the patent database; calculating, by the server computing device, values for one or more patent metrics from the patent metadata for the target technological domain; calculating, by the server computing device, the patent-based technological improvement rate for the target technological domain by applying a predictive model to the one or more patent metric values for the target technological domain; and communicating, by the server computing device, the patent-based technological improvement rate through an output communication interface for presentation through an output of an end user computing device. 11. The method of claim 10, further comprising: receiving, by the server computing device, a request through the input communication interface to forecast one or more values associated with a functional performance metric in the target technological domain; obtaining, by the server computing device, a reference value for the functional performance metric at a reference time in the target technological domain; obtaining, by the server computing device, the patent-based technological improvement rate for the target technological domain; calculating, by the server computing device, the one or more requested forecast values for the technological domain according to an exponential function that increases over time at the patent-based technological improvement rate; and communicating, by the server computing device, the one or more requested forecast values associated with the functional performance metric over an output communication interface for presentation at an output of an end user computing device. 12. The method of claim 10, wherein each of the one or more patent metrics correlates to technological improvement rates that are calculated based on historical functional performance metrics across a plurality of technological domains, wherein each of the one or more patent metrics has a Pearson correlation coefficient greater than 0.50. 13. The method of claim 10, wherein the one or more patent metrics comprise an average number of forward citations within three years of publication per patent in the set of patents (FwdCit3) and an average publication date of the set of patents (PubYear), the predictive model for the patent-based technological improvement rate (k) being defined as k=−31.12+0.02*PubYear+0.14*FwdCit3. 14. The method of claim 10, wherein the one or more patent metrics comprise an average number of forward citations per patent in the set of patents (FwdCit) and an average publication date of backward citations per patent in the set of patents (PubYearBkwdCit), the predictive model for the patent-based technological improvement rate (k) being defined as k=−41.37+0.014*FwdCit+0.020*PubYearBkwdCit. 15. The method of claim 10, wherein the one or more patent metrics comprise an average number of forward citations per patent in the set of patents (FwdCit), an average publication date of the set of patents (PubYear), and an average age of backward citations per patent in the set of patents (AgeBkwdCit), the predictive model for the patent-based technological improvement rate (k) being defined as k=−47.1+0.015*FwdCit+0.024*PubYear+(−0.018)*AgeBkwdCit. 16. A non-transitory processor-readable storage medium having stored thereon processor-executable instructions configured to cause a processor of a server computing device to perform operations for quantifying and presenting information representative of technological improvements in a target technological domain based on patent metrics, the operations comprising: receiving a request for a patent-based technological improvement rate through an input communication interface, the request including information for identifying a target technological domain; selecting a set of patents representative of the target technological domain from an online search of a patent database over a network; storing patent metadata in a memory for the set of patents received over the network from the online search of the patent database; calculating values for one or more patent metrics from the patent metadata for the target technological domain; calculating the patent-based technological improvement rate for the target technological domain by applying a predictive model to the one or more patent metric values for the target technological domain; and communicating the patent-based technological improvement rate through an output communication interface for presentation through an output of an end user computing device. 17. The non-transitory processor-readable storage medium of claim 16, wherein the stored processor-executable instructions are configured to cause the processor of the server computing device to perform operations further comprising: receiving a request through the input communication interface to forecast one or more values associated with a functional performance metric in the target technological domain; obtaining a reference value for the functional performance metric at a reference time in the target technological domain; obtaining the patent-based technological improvement rate for the target technological domain; calculating the one or more requested forecast values for the technological domain according to an exponential function that increases over time at the patent-based technological improvement rate; and communicating the one or more requested forecast values associated with the functional performance metric over an output communication interface for presentation at an output of an end user computing device. 18. The non-transitory processor-readable storage medium of claim 16, wherein the one or more patent metrics comprise an average number of forward citations within three years of publication per patent in the set of patents (FwdCit3) and an average publication date of the set of patents (PubYear), the predictive model for the patent-based technological improvement rate (k) being defined as k=−31.12+0.02*PubYear+0.14*FwdCit3. 19. The non-transitory processor-readable storage medium of claim 16, wherein the one or more patent metrics comprise an average number of forward citations per patent in the set of patents (FwdCit) and an average publication date of backward citations per patent in the set of patents (PubYearBkwdCit), the predictive model for the patent-based technological improvement rate (k) being defined as k=−41.37+0.014*FwdCit+0.020*PubYearBkwdCit. 20. The non-transitory processor-readable storage medium of claim 16, wherein the one or more patent metrics comprise an average number of forward citations per patent in the set of patents (FwdCit), an average publication date of the set of patents (PubYear), and an average age of backward citations per patent in the set of patents (AgeBkwdCit), the predictive model for the patent-based technological improvement rate (k) being defined as k=−47.1+0.015*FwdCit+0.024*PubYear+(−0.018)*AgeBkwdCit.