SG11201908824PA - Systems and methods for intelligently providing supporting information using machine-learning - Google Patents

Abstract

FIG305 Collect a data set or generating a machine-learning model using one or more machine-learning algorithms 310 Define one or more evaluation metrics using the one or more event parameters 315 Assess the one or more evaluation metrics and the data set 320 Detect a first communication from a computing device 325 Determine one or more variables from the request ir d. 330 Map the one or more variables to the plurality of nodes of the machine-learning model Identify a set of nodes associated with each of the one or more variables 340 Retrieve one or more values associated with each of the nodes included in the set of nodes 345 Transmit a second communication to the computing device 300 W O 20 18/ 17 6 215 Al (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 04 October 2018 (04.10.2018) W I PO I PCT omit °nolo mm1111°1 onno ois (10) International Publication Number WO 2018/176215 Al (51) International Patent Classification: GOON 99/00 (2010.01) (21) International Application Number: PCT/CN2017/078401 (22) International Filing Date: 28 March 2017 (28.03.2017) (25) Filing Language: English (26) Publication Language: English (71) Applicant: ORACLE INTERNATIONAL CORPO- RATION [US/US]; 500 Oracle Parkway, Redwood Shores, California 94065 (US). (72) Inventor; and (71) Applicant (for MG only): LI, Li [CN/CN]; Building#25, 10-402, Baoshengli, Haidian District, Beijing 100192 (CN). (72) Inventors: PENG, Xiaoyu; Building#22, 4-1208, Sheng- pinyuan, Changping District, Beijing 100000 (CN). PAN, Kehua; 903 6# Building, 6th Area Yuandayuan, Haidian District, Beijing 100000 (CN). (74) Agent: CCPIT PATENT AND TRADEMARK LAW OFFICE; 8th Floor, Vantone New World Plaza, 2 Fucheng- menwai Street, Xicheng District, Beijing 100037 (CN). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Published: with international search report (Art. 21(3)) (54) Title: SYSTEMS AND METHODS FOR INTELLIGENTLY PROVIDING SUPPORTING INFORMATION USING MACHINE-LEARNING (57) : Systems and methods for intelligently providing users with supporting information based on big-data analyses of a data set. Ma- chine-learning algorithms may be executed using the data set to identify correlations between data objects of the data set. The correlations can be used to recommend supporting information to a user. A user interface can be provided to enable a user to initiate a process associated with an event. In response to receiving the input, the system can identify vari- ables associated with the request. Based on these variables, the system can retrieve output data of the machine-learning algorithms to identify the supporting information for the user.