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EP4004769
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EP About this file: EP4004769
| EP4004769 - MACHINE LEARNING SYSTEM TO PREDICT CAUSAL TREATMENT EFFECTS OF ACTIONS PERFORMED ON WEBSITES OR APPLICATIONS [Right-click to bookmark this link] | Status | Request for examination was made Status updated on 29.04.2022 Database last updated on 16.07.2024 | |
| Former | The international publication has been made Status updated on 05.02.2021 | Most recent event Tooltip | 02.02.2024 | Amendment by applicant | Applicant(s) | For all designated states Amplitude, Inc. 631 Howard Street 5th Floor San Francisco CA 94105 / US | [2022/22] | Inventor(s) | 01 /
KRAMER, Scott c/o Amplitude, Inc. 623 Howard Street, 5th Floor San Francisco, CA 94105 / US | 02 /
ROGERS, Cynthia c/o Amplitude, Inc. 623 Howard Street, 5th Floor San Francisco, CA 94105 / US | 03 /
POLLMANN, Eric c/o Amplitude, Inc. 623 Howard Street, 5th Floor San Francisco, CA 94105 / US | 04 /
MAHMOOD, Muhammad, Bilal c/o Amplitude, Inc. 623 Howard Street, 5th Floor San Francisco, CA 94105 / US | [2022/22] | Representative(s) | FRKelly Waterways House Grand Canal Quay Dublin D02 PD39 / IE | [N/P] |
| Former [2022/22] | FRKelly 27 Clyde Road Dublin D04 F838 / IE | Application number, filing date | 20848151.5 | 14.07.2020 | [2022/22] | WO2020US41996 | Priority number, date | US201916525457 | 29.07.2019 Original published format: US201916525457 | [2022/22] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | WO2021021433 | Date: | 04.02.2021 | Language: | EN | [2021/05] | Type: | A1 Application with search report | No.: | EP4004769 | Date: | 01.06.2022 | Language: | EN | The application published by WIPO in one of the EPO official languages on 04.02.2021 takes the place of the publication of the European patent application. | [2022/22] | Search report(s) | International search report - published on: | US | 04.02.2021 | (Supplementary) European search report - dispatched on: | EP | 12.07.2023 | Classification | IPC: | G06N20/00, G06F17/00, G06N3/063 | [2023/32] | CPC: |
G06N20/00 (EP,US);
G06F11/3438 (EP,US);
G06F11/3466 (EP,US);
G06F17/16 (US);
G06F17/18 (US);
G06F9/451 (US);
G06Q30/02 (EP,US);
G06N3/063 (EP);
H04L67/535 (US);
Y02D10/00 (EP)
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| Former IPC [2022/22] | G06F17/00 | Designated contracting states | AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR [2022/22] | Title | German: | MASCHINENLERNSYSTEM ZUR VORHERSAGE KAUSALER BEHANDLUNGSEFFEKTE VON AUF WEBSEITEN ODER ANWENDUNGEN DURCHGEFÜHRTEN AKTIONEN | [2022/22] | English: | MACHINE LEARNING SYSTEM TO PREDICT CAUSAL TREATMENT EFFECTS OF ACTIONS PERFORMED ON WEBSITES OR APPLICATIONS | [2022/22] | French: | SYSTÈME D'APPRENTISSAGE MACHINE DESTINÉ À PRÉDIRE DES EFFETS D'UN TRAITEMENT CAUSAL D'ACTIONS EXÉCUTÉES SUR DES SITES WEB OU DES APPLICATIONS | [2022/22] | Entry into regional phase | 28.02.2022 | National basic fee paid | 28.02.2022 | Search fee paid | 28.02.2022 | Designation fee(s) paid | 28.02.2022 | Examination fee paid | Examination procedure | 28.02.2022 | Examination requested [2022/22] | 01.02.2024 | Amendment by applicant (claims and/or description) | 01.02.2024 | Date on which the examining division has become responsible | Fees paid | Renewal fee | 28.02.2022 | Renewal fee patent year 03 | 27.07.2023 | Renewal fee patent year 04 |
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| Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Documents cited: | Search | [I]US2010179930 (TELLER ERIC [US], et al) [I] 1-20 * paragraph [0035] - paragraph [0046] * * paragraph [0071] ** figures 1-3 * | International search | [A]US2014358825 (PHILLIPPS KELLY D [US], et al) [A] 1-20 * entire document *; | [A]US2016155143 (HSIAO SISSIE LING-LE [US], et al) [A] 1-20* entire document *; | [A]US2017076299 (MODARRESI KOUROSH [US]) [A] 1-20 * , entire document, especially Abstract; para [0020], [0039], [0042] *; | [A]US2017116525 (PINEL FLORIAN [US], et al) [A] 1-20 * , entire document, especially Abstract; para [0024], [0038] *; | [A]US2018210808 (SHANMUGAM SANKAR [US], et al) [A] 1-20 * , entire document, especially Abstract; para [0010], [0017]-[0019] *; | [A] - ZHANG, SHUAI et al., "Deep Learning based Recommender System: A Survey and New Perspectives", ACM Comput. Surv. 1, vol. 1, no. Article 1, doi:10.1145/3285029, (20180700), URL: https://arxiv.org/pdf/1707.07435.pdf, (20200904), XP058472070 [A] 1-20 * , entire document, especially pg 1:4-5, 1:14 * DOI: http://dx.doi.org/10.1145/3285029 |