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Autor:
ZIHUA SI1 zihua_si@ruc.edu.cn, ZHONGXIANG SUN1 sunzhongxiang@ruc.edu.cn, XIAO ZHANG1 zhangx89@ruc.edu.cn, JUN XU1 junxu@ruc.edu.cn, YANG SONG2 yangsong@kuaishou.com, XIAOXUE ZANG2 zangxiaoxue@kuaishou.com, JI-RONG WEN1 jrwen@ruc.edu.cn
Publikováno v:
ACM Transactions on Information Systems. Oct2023, Vol. 41 Issue 4, p1-31. 31p.
Machine-learning based recommender systems(RSs) has become an effective means to help people automatically discover their interests. Existing models often represent the rich information for recommendation, such as items, users, and contexts, as embed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::420754379d2f4dc5694316f8371460cc
http://arxiv.org/abs/2202.04514
http://arxiv.org/abs/2202.04514
