Patent SG-11201805797S-A (SG)
Title: Machine learning based webinterface generation and testing system
Inventor: ISCOE NEIL
IPC: G06Q30/02
Filed: 2017-01-05
Abstract: WO 17 / 118936 Al rullillnuint System 110 FIG. I Dotted Lines = Optional Module MACHINE LEARNED CON VERS[0, OPi RUZAT1HlS (MI CO) SYSTEM , Outpu0Action Signals Sualuntion Data (user clicks) (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2017/118936 Al 13 July 2017 (13.07.2017) WIPO I PCT 111111111111110111011111111111010111110 0111011111011111101111111111111111110111111 (51) International Patent Classification: GOOF 3/0483 (2013.01) GOOF 17/30 (2006.01) GOOF 3/0484 (2013.01) G06Q 30/02 (2012.01) GOOF 15/18 (2006.01) (21) International Application Number: PCT/IB2017/050043 (22) International Filing Date: 5 January 2017 (05.01.2017) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 62/275,058 5 January 2016 (05.01.2016) US 62/275,074 5 January 2016 (05.01.2016) US (71) Applicant: SENTIENT TECHNOLOGIES (BARBA- DOS) LIMITED [BB/BB]; 13, 8th Avenue, Belleville (BB). (72) Inventors: ISCOE, Neil; 3415 Mt. Barker, Austin, TX 78731 (US). MIIKULAINEN, Risto; 339 Olmsted Road, Stanford, CA 94305 (US). (74) Agent: WOLFELD, Warren S.; Haynes Beffel & Wolfeld LLP, PO Box 366, 637 Main Street, Half Moon Bay, CA 94019 (US). (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). [Continued on next page] (54) Title: MACHINE LEARNING BASED WEBINTERFACE GENERATION AND TESTING SYSTEM (57) : Roughly described, the technology disclosed provides a so-called machine learned conversion optimization (MLCO) system that uses evolutionary computations to efficiently identify most successful webpage designs in a search space without testing all possible webpage designs in the search space. The search space is defined based on webpage designs provided by marketers. Website funnels with a single webpage or multiple webpages are represented as genomes. Genomes identify different dimensions and dimension values of the funnels. The genomes are subjected to evolutionary operations like initialization, test- ing, competition, and procreation to identify parent genomes that per- form well and offspring genomes that are likely to perform well. Each webpage is tested only to the extent that it is possible to decide whether it is promising, i.e., whether it should serve as a parent for the next gen- eration, or should be discarded. WO 2017/118936 Al MIDEDIMOMMION0101310EIMEMEMOVOIS Published: — before the expiration of the time limit for amending the — with international search report (Art. 21(3)) claims and to be republished in the event of receipt of amendments (Rule 48.2(h))