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Extract from the Register of European Patents

EP About this file: EP3353670

EP3353670 - REGULARIZED MODEL ADAPTATION FOR IN-SESSION RECOMMENDATIONS [Right-click to bookmark this link]
Status	The application has been withdrawn Status updated on 24.04.2020 Database last updated on 22.08.2024
Former	Examination is in progress Status updated on 31.03.2020
Former	Request for examination was made Status updated on 29.06.2018
Former	The international publication has been made Status updated on 01.04.2017
Most recent event Tooltip	24.04.2020	Withdrawal of application	published on 27.05.2020 [2020/22]
Applicant(s)	For all designated states Microsoft Technology Licensing, LLC One Microsoft Way Redmond, WA 98052 / US
	[2018/31]
Inventor(s)	01 / MIAO, Xu c/o LinkedIn Corporation 2029 Stierlin Court Mountain View, California 94043 / US
	02 / ZHOU, Yitong c/o LinkedIn Corporation 2029 Stierlin Court Mountain View, California 94043 / US
	03 / YOUNG, Joel D. c/o LinkedIn Corporation 2029 Stierlin Court Mountain View, California 94043 / US
	04 / TANG, Lijun c/o LinkedIn Corporation 2029 Stierlin Court Mountain View, California 94043 / US
	05 / BHASIN, Anmol c/o LinkedIn Corporation 2029 Stierlin Court Mountain View, California 94043 / US
	[2018/31]
Representative(s)	CMS Cameron McKenna Nabarro Olswang LLP Cannon Place 78 Cannon Street London EC4N 6AF / GB
	[N/P]
Former [2018/31]	D Young & Co LLP 120 Holborn London EC1N 2DY / GB
Application number, filing date	15905003.8	05.11.2015
	[2018/31]
	WO2015US59337
Priority number, date	US201514864499	24.09.2015 Original published format: US201514864499
	[2018/31]
Filing language	EN
Procedural language	EN
Publication	Type:	A1 Application with search report
	No.:	WO2017052671
	Date:	30.03.2017
	Language:	EN
	[2017/13]
	Type:	A1 Application with search report
	No.:	EP3353670
	Date:	01.08.2018
	Language:	EN
	The application published by WIPO in one of the EPO official languages on 30.03.2017 takes the place of the publication of the European patent application.
	[2018/31]
Search report(s)	International search report - published on:	US	30.03.2017
	(Supplementary) European search report - dispatched on:	EP	17.04.2019
Classification	IPC:	G06F15/16, G06N20/20, G06Q10/06, G06Q30/02	[2019/20]
	CPC:	G06N7/00 (EP,US); G06N20/00 (EP,US); G06N20/20 (EP,US); G06Q10/00 (EP,US); G06Q10/06 (EP,US); G06Q30/0282 (EP,US)
	Former IPC [2018/31]	G06F15/16
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 [2018/31]
Title	German:	GEREGELTE MODELLANPASSUNG FÜR SITZUNGSINTERNE EMPFEHLUNGEN	[2018/31]
	English:	REGULARIZED MODEL ADAPTATION FOR IN-SESSION RECOMMENDATIONS	[2018/31]
	French:	ADAPTATION DE MODÈLE RÉGULARISÉ POUR RECOMMANDATIONS EN COURS DE SESSION	[2018/31]
Entry into regional phase	29.01.2018	National basic fee paid
	29.01.2018	Search fee paid
	29.01.2018	Designation fee(s) paid
	29.01.2018	Examination fee paid
Examination procedure	20.12.2017	Date on which the examining division has become responsible
	29.01.2018	Examination requested [2018/31]
	05.11.2019	Amendment by applicant (claims and/or description)
	03.04.2020	Despatch of a communication from the examining division (Time limit: M04)
	17.04.2020	Application withdrawn by applicant [2020/22]
Fees paid	Renewal fee
	29.01.2018	Renewal fee patent year 03
	14.11.2018	Renewal fee patent year 04
	14.11.2019	Renewal fee patent year 05
Opt-out from the exclusive Tooltip competence of the Unified Patent Court	See the Register of the Unified Patent Court for opt-out data
	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]US2015242760 (MIAO XU [US], et al) [I] 1-15 * paragraph [0001] - paragraph [0004] * * paragraph [0040] - paragraph [0060]; figures 2-5 *;
		[I] - MU LI ET AL, "Parameter Server for Distributed Machine Learning", PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND COMPUTING, BIGDATASCIENCE '14, New York, New York, USA, (20131209), doi:10.1145/2640087.2644155, ISBN 978-1-4503-2891-3, pages 1 - 1, XP055577464 [I] 1-15 * the whole document *
		[A] - KUN HUA TSAI ET AL, "A Learning Objects Recommendation Model based on the Preference and Ontological Approaches", ADVANCED LEARNING TECHNOLOGIES, 2006. SIXTH INTERNATIONAL CONFERENCE O N KERKRADE, THE NETHERLANDS 05-07 JULY 2006, PISCATAWAY, NJ, USA,IEEE, (20060705), doi:10.1109/ICALT.2006.1652359, ISBN 978-0-7695-2632-4, pages 36 - 40, XP010927489 [A] 1-15 * the whole document * DOI: http://dx.doi.org/10.1109/ICALT.2006.1652359
	International search	[A]US6321221 (BIEGANSKI PAUL [US]) [A] 1-8, 11-25 * entire document *;
		[Y]US2004254957 (HYOTYNIEMI HEIKKI [FI], et al) [Y] 1-8, 11-25 * , entire document *;
		[A]US2006282304 (BEDARD SCOTT [US], et al) [A] 1-8, 11-25 * , entire document *;
		[A]US2007043817 (OLIVER JONATHAN [US], et al) [A] 1-8, 11-25* , entire document *;
		[A]US2009228846 (MCCONAGHY TRENT LORNE [CA], et al) [A] 1-8, 11-25 * , entire document *;
		[Y]US7734680 (KURAPATI KAUSHAL [US], et al) [Y] 13, 14 * , entire document *;
		[Y]US2014255882 (HADAD YARON [IL], et al) [Y] 1-8, 11-25 * , entire document *
	by applicant	US2015242760

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