A solution searching system includes a utility server, N model running servers, a database server, and a central controller server. The utility server is configured to generate N first model input files according to a first issue description file. Each model running server is configured to generate a first solution key according to a corresponding first model input file and a corresponding prediction model. The database server is configured to read a first solution file from a database according to the first solution key. The central controller server is configured to transfer the first issue description file to the utility server, to transfer the first model input files to the model running servers, to transfer the first solution keys to the database server, and to output the first solution file according to a weight value of each of the model running servers.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A solution searching system, comprising: a utility server configured to generate N first model input files corresponding to N prediction models respectively according to a first issue description file, wherein N is an integer greater than 1; N model running servers, each of the model running servers is corresponding to a weighting and a prediction model of the N prediction models, each of the model running servers is configured to generate a first solution key according to the prediction model corresponded to the model running server and a first model input file corresponded to the prediction model; a database; a database server configured to read at least one first solution file from the database according to the first solution keys generated by the N model running servers; and a central controller server configured to: transfer the first issue description file to the utility server when receiving the first issue description file; transfer the N first model input files generated by the utility server to the N model running servers; transfer the first solution key generated by each of the model running servers to the database server; and output the at least one first solution file read by the database server from the database according to the weighting of each of the model running servers. 2. The solution searching system of claim 1, wherein the central controller server is further configured to: transfer a plurality of solved second issue description files to the utility server to make the utility server generate a second solution file for each of the plurality of solved second issue description files and N second model input files for each of the plurality of the solved second issue description files corresponding to the N prediction models according to the plurality of solved second issue description files when receiving the plurality of solved second issue description files; make the database server to store each of the second solution files according to a second solution key of each of the second solution files; and transfer the N second model input files of each of the plurality of the solved second issue description files corresponding to the N prediction models and the second solution key of each of the plurality of solved second issue description files to a model building server to make the model building server build the N prediction models according to the N second model input files of each of the plurality of the solved second issue description files corresponding to the N prediction models and the second solution key corresponding to each of the plurality of solved second issue description files. 3. The solution searching system of claim 2, wherein the central controller server is further configured to: transfer a plurality of testing issue description files to the utility server when receiving the plurality of testing issue description files; transfer N testing model input files corresponding to each of the test issue description files generated by the utility server to the N model running servers; transfer a test solution key corresponding to each of the test issue description files generated by each of the model running servers to the database server; and set an initial value of the weighting for each of the model running servers according to whether the test solution key generated by each of the model running servers is correct or not. 4. The solution searching system of claim 2, wherein the central controller server is further configured to make the model building server rebuild the N prediction models when the central controller server receives a predetermined number of the first issue description files. 5. The solution searching system of claim 1, wherein the central controller server is further configured to: generate an attribute description file according to words in the first issue description file; and generate m predictor files according to the attribute description file; wherein the utility server generates the N first model input files according to the first issue description file is generating the N first model input files according to the m predictor files and k data mining algorithms, m and k are positive integers. 6. The solution searching system of claim 5, wherein each of the first model input files is corresponding to a predictor file of the m predictor files and a data mining algorithm of the k data mining algorithm, and every two first model input files have different combinations of the predictor file and the data mining algorithm. 7. The solution searching system of claim 1, wherein the central controller server is further configured to adjust the weighting of each of the model running servers that generates the same first solution key as a solution key corresponding to a correct solution file, when the correct solution file of the at least one first solution file is selected. 8. A method of operating a solution searching system, wherein the solution searching system comprises a utility server, N model running servers, a database, a database server and a central controller server, the method comprising: the central controller server transferring a first issue description file to the utility server when receiving the first issue description file; the utility server generating N first model input files corresponding to N prediction models respectively according to the first issue description file, wherein N is an integer greater than 1; the central controller server transferring the N first model input files generated by the utility server to the N model running servers; each of the N model running servers generating a first solution key according to a prediction model corresponded to the model running server and a first model input file corresponded to the prediction model; the central controller server transferring the first solution key generated by each of the model running servers to the database server; the database server reading at least one first solution file from the database according to the first solution keys generated by the N model running servers; and the central controller server outputting the at least one first solution file read by the database server from the database according to a weighting of each of the model running servers. 9. The method of claim 8, wherein solution searching system further comprises a model building server, the method further comprising: the central controller server transferring a plurality of solved second issue description files to the utility server when the central controller server receives the plurality of solved second issue description files; the utility server generating a second solution file for each of the plurality of solved second issue description files and N second model input files for each of the plurality of the solved second issue description files corresponding to the N prediction models according to the plurality of solved second issue description files; the database server storing each of the second solution files according to a second solution key of each of the second solution files; the central controller server transferring the N second model input files of each of the plurality of the solved second issue description files corresponding to the N prediction models and the second solution key corresponding to each of the plurality of solved second issue description files to a model building server; and the model building server building the N prediction models according to the N second model input files of each of the plurality of the solved second issue description files corresponding to the N prediction models and the second solution key corresponding to each of the plurality of solved second issue description files. 10. The method of claim 9, further comprising: the central controller server transferring a plurality of testing issue description files to the utility server when receiving the plurality of testing issue description files; the central controller server transferring N testing model input files corresponding to each of the test issue description files generated by the utility server to the N model running servers; the central controller server transferring a test solution key corresponding to each of the test issue description files generated by each of the model running servers to the database server; and the central controller server setting an initial value for the weighting of each of the model running servers according to whether the test solution key generated by each of the model running servers is correct or not. 11. The method of claim 9, further comprising the central controller server making the model building server rebuild the N prediction models when the central controller server receives a predetermined number of the first issue description files. 12. The method of claim 8, wherein the utility server generating the N first model input files corresponding to the N prediction models respectively according to the first issue description file further comprises: the utility server generating an attribute description file according to words in the first issue description file; the utility server generating m predictor files according to the attribute description file; and the utility server generating the N first model input files according to the m predictor files and k data mining algorithms, wherein m and k are positive integers. 13. The method of claim 12, wherein each of the first model input files is corresponding to a predictor file of the m predictor files and a data mining algorithm of the k data mining algorithm, and every two first model input files have different combinations of the predictor file and the data mining algorithm. 14. The method of claim 8, further comprising: selecting a correct solution file of the at least one first solution file; and the central controller server adjusting the weighting of each of the model running server that generates the same first solution key as a solution key corresponding to the correct solution file.