Zobrazeno 1 - 2
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pro vyhledávání: '"Eksombatchai, Chantat"'
Autor:
Pal, Aditya, Eksombatchai, Chantat, Zhou, Yitong, Zhao, Bo, Rosenberg, Charles, Leskovec, Jure
Publikováno v:
KDD 2020
Latent user representations are widely adopted in the tech industry for powering personalized recommender systems. Most prior work infers a single high dimensional embedding to represent a user, which is a good starting point but falls short in deliv
Externí odkaz:
http://arxiv.org/abs/2007.03634
Autor:
Eksombatchai, Chantat, Jindal, Pranav, Liu, Jerry Zitao, Liu, Yuchen, Sharma, Rahul, Sugnet, Charles, Ulrich, Mark, Leskovec, Jure
User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to a massive pool of items, a large n
Externí odkaz:
http://arxiv.org/abs/1711.07601