A method and device. The device determines an initial estimate of an amount of time for a generic user to read a document, wherein the initial estimate is determined based on a value of one or more parameters associated with the document. The device determines an estimate correction parameter for modifying the determined initial estimate to compensate for a particular user who will read the document, a particular context n which the particular user will read the document, or a combination thereof. The device uses the initial estimate and the estimate correction parameter to determine an estimate of the amount of time for the particular user to read the document.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method implemented by a hardware device, said method comprising: determining, by the device, an initial estimate of an amount of time for a generic user to read a document, wherein the initial estimate is determined based on a value of one or more parameters associated with the document; determining, by the device, an estimate correction parameter for modifying the determined initial estimate to compensate for a particular user who will read the document, a particular context in which the particular user will read the document, or a combination thereof; and using, by the device, the initial estimate and the estimate correction parameter determine an estimate of the amount of time for the particular user to read the document. 2. The method of claim 1, wherein said determining the estimate correction parameter comprises determining the estimate correction parameter to compensate for the particular user who will read the document, wherein the estimate correction parameter is based on a value of one or more parameters associated with the particular user. 3. The method of claim 2, wherein said determining the estimate correction parameter to compensate for the particular user who will read the document comprises: receiving user data relating to the particular user, wherein the user data comprise one or more values of profile parameters relating to a profile of the particular user, and wherein the profile parameters relate to factors that impact the amount of time for the particular user to read the document. 4. The method of claim 3, wherein said determining the estimate correction parameter compensate for the particular user who will read the document further comprises: receiving document data relating to the document, wherein the document data comprise one or more values of document parameters relating to the document, and wherein the document parameters relate to factors that impact the amount of time for the particular user to read the document: and comparing the profile parameters of the user data with the document parameters of the document data to derive a subset of the profile parameters that relate to factors that impact the amount of time for the particular user to read the document. 5. The method of claim 4, said method further comprising: receiving, by the device, an algorithm for determining the estimate correction parameter, wherein the algorithm comprises a predefined set of profile parameters, and wherein the profile parameters relate to factors that impact the amount of time for the particular user to read the document; executing, by the device, the algorithm using one or more user data values of the subset of the profile parameters that correspond to one or more profile parameters of the predefined set of profile parameters to determine the estimate correction parameter. 6. The method of claim 5, said method further comprising: determining, by the device, the algorithm by predictive analysis; and defining, by the device, a set of weights for each profile parameter of the predefined set of profile parameters based on historical data relating to previous readings of documents by users. 7. The method of claim 1, wherein said determining the estimate correction parameter comprises determining the estimate correction parameter to compensate for a particular context in which the user will read the document, wherein the estimate correction parameter is based on a value of one or more parameters associated with the particular context. 8. The method of claim 7, wherein said determining the estimate correction parameter to compensate for the particular context in which the particular user will read the document comprises: receiving context data relating to the particular context, wherein the context data comprises one or more values of context parameters relating to factors associated with the particular context that impact an amount of time for the particular user to read the document in the particular context. 9. The method of claim 8, said method further comprising: receiving, by the device, an algorithm for determining the estimate correction para e e wherein the algorithm comprises a predefined set of context parameters relating to factors that impact on the amount of time for the particular user to read the document in the particular context; executing, by the device, the algorithm using one or more context data values of the one or more values of context parameters that correspond to one or more context parameters of the predefined set of context parameters to determine the estimate correction parameter. 10. The method of claim 9, said method further comprising: determining, by the device, the algorithm by predictive analysis; and defining, by the device, a set of weights for each context parameter of the predefined set of context parameters based on historical data relating to previous readings of documents by users in associated contexts. 11. A system, comprising a hardware device configured to implement a method, said method comprising: determining, by the device, an initial estimate of an amount of time for a generic user to read a document, wherein the initial estimate is determined based on a value of one or more parameters associated with the document; determining, by the device, an estimate correction parameter for modifying the determined initial estimate to compensate for a particular user who will read the document, a particular context in which the particular user will read the document, or a combination thereof; and using, by the device, the initial estimate and the estimate correction parameter to determine an estimate of the amount of time for the particular user to read the document. 12. The system of claim 11, wherein said determining the estimate correction parameter comprises determining the estimate correction parameter to compensate for the particular user who will read the document, wherein the estimate correction parameter is based on a value of one or more parameters associated with the particular user. 13. The system of claim 12, wherein said determining the estimate correction parameter to compensate for the particular user will read the document comprises: receiving user data relating to the particular user, wherein the user data comprise one or more values of profile parameters relating to a profile of the particular user, and wherein the profile parameters relate to factors that impact the amount of time for the particular user read the document. 14. The system of claim 13, wherein said determining the estimate correction parameter to compensate for the particular user ho will read the document further comprises: receiving document data relating to the document, wherein the document data comprise one or more values of document parameters relating to the document, and wherein the document parameters relate to factors that impact the amount of time for the particular user to read the document; and comparing the profile parameters of the user data with the document parameters of the document data to derive a subset of the profile parameters that relate to factors that impact the amount of time for the particular user to read the document. 15. The system of claim 14, said method further comprising: receiving, by the device, an algorithm for determining the estimate correction parameter, wherein the algorithm comprises a predefined set of profile parameters, and wherein the profile parameters relate to factors that impact the amount of time for the particular user to read the document; executing, by the device, the algorithm using one or more user data values of the subset of the profile parameters that correspond to one or more profile parameters of the predefined set of profile parameters to determine the estimate correction parameter. 16. A computer program product, comprising a computer readable hardware storage medium having computer readable program code stored therein, said program code containing instructions executable by a hardware device to implement a method, said method comprising: determining, by the device, an initial estimate of an amount of time for a generic user to read a document, wherein the initial estimates determined based on a value of one or more parameters associated with the document; determining, by the device, an estimate correction parameter for modifying the determined initial estimate to compensate for a particular user who will read the document, a particular context in which the particular user will read the document, or a combination thereof; and using, by the device, the initial estimate and the estimate correction parameter to determine an estimate of the amount of time for the particular user to read the document. 17. The computer program product of claim 16, wherein said determining the estimate correction parameter comprises determining the estimate correction parameter to compensate for the particular user who will read the document, wherein the estimate correction parameter is based on a value of one or more parameters associated with the particular user. 18. The computer program product of claim 17, wherein said determining the estimate correction parameter to compensate for the particular user who will read the document comprises: receiving user data relating to the particular user, wherein the user data comprise one or more values of profile parameters relating to a profile of the particular user, and wherein the profile parameters relate to factors that impact the amount of time for the particular user to read the document. 19. The computer program product of claim 18, wherein said determining the estimate correction parameter to compensate for the particular user who will read the document further comprises: receiving document data relating to the document, wherein the document data comprise one or more values of document parameters relating to the document, and wherein the document parameters relate to factors that impact the amount of time for the particular user to read the document; and comparing the profile parameters of the user data with the document parameters of the document data to derive a subset of the profile parameters that relate to factors that impact the amount of time for the particular user to read the document. 20. The computer program product of claim 19, said method further comprising: receiving, by the device, an algorithm for determining the estimate correction parameter, wherein the algorithm comprises a predefined set of profile parameters, and wherein the profile parameters relate to factors that impact the amount of time for the particular user to read the document; executing, by the device, the algorithm using one or more user data values of the subset of the profile parameters that correspond to one or more profile parameters of the predefined set of profile parameters to determine the estimate correction parameter.