APPARATUS AND METHOD FOR RECOMMENDING COLLABORATIVE FILTERING BASED ON LEARNABLE-TIME ORDINARY DIFFERENTIAL EQUATION

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United States of America Patent

APP PUB NO 20230186105A1
SERIAL NO

17563726

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Abstract

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A collaborative filtering recommending apparatus includes an initial-embedding generation module configured to generate first and second initial embeddings; a dual co-evolving ordinary differential equation module comprising first and second ordinary differential equation processing members which repeat, for a specific time, a process of receiving first and second previous embeddings, respectively, and outputting first and second subsequent embeddings, respectively, through mutual influence as a learning time elapses, the first and second previous embeddings initially corresponding to the first and second initial embeddings, respectively; and a final-embedding generation module configured to generate a first final embedding by cumulative summing the first previous and subsequent embeddings, and to generate a second final embedding by cumulative summing the second previous and subsequent embeddings.

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Patent Owner(s)

Patent OwnerAddress
UIF (UNIVERSITY INDUSTRY FOUNDATION) YONSEI UNIVERSITYYONSEI UNIV 50 YONSEI-RO SEODAEMUN-GU SEOUL 03722

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
CHOI, Jeong Whan Seoul, KR 1 0
JEON, Jin Sung Seoul, KR 5 12
PARK, No Seong Seoul, KR 8 4

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