SYSTEMS AND METHODS FOR RENDERING NEAR-REAL-TIME EMBEDDING MODELS FOR PERSONALIZED NEWS RECOMMENDATIONS

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United States of America Patent

APP PUB NO 20220374761A1
SERIAL NO

17313698

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Abstract

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The instant system and methods solves the cold start problem through various systems and methods directed to aggregating user interaction data associated with a user over a period of time, generating an embedding model based on the aggregated user interaction data, generating a content embedding vector based on the embedding model, generating an embedding profile vector based on the embedding model, storing the embedding profile vector in a storage device, receiving each of the content embedding vector and embedding vector profile for training a ranking model, and generating a predicted list of one or more content items of interest for recommending to the user.

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Patent Owner(s)

Patent OwnerAddress
YAHOO ASSETS LLC22000 AOL WAY DULLES VA 20166

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
CHANG, Yu-Ting Taipei City, TW 18 19
CHEN, Peng-Yu Taipei City, TW 63 207
HUANG, Chi-Chia New Taipei City, TW 21 105
LIOU, Tzu-Chiang New Taipei City, TW 9 11
TSAO, Yi-Ting New Taipei City, TW 2 3
YEN, Cheng-En New Taipei City, TW 2 3

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