Zobrazeno 1 - 10
of 4 812
pro vyhledávání: '"Attribute prediction"'
This paper proposes Group Activity Feature (GAF) learning in which features of multi-person activity are learned as a compact latent vector. Unlike prior work in which the manual annotation of group activities is required for supervised learning, our
Externí odkaz:
http://arxiv.org/abs/2403.02753
Autor:
Cheung, Ming
User attribute prediction is a crucial task in various industries. However, sharing user data across different organizations faces challenges due to privacy concerns and legal requirements regarding personally identifiable information. Regulations su
Externí odkaz:
http://arxiv.org/abs/2312.15420
Autor:
Deng, Zhongfen, Peng, Hao, Zhang, Tao, Liu, Shuaiqi, Zhao, Wenting, Wang, Yibo, Yu, Philip S.
Product attribute value extraction is an important task in e-Commerce which can help several downstream applications such as product search and recommendation. Most previous models handle this task using sequence labeling or question answering method
Externí odkaz:
http://arxiv.org/abs/2311.04196
Autor:
Zhang, Zijian, Zhao, Xiangyu, Liu, Qidong, Zhang, Chunxu, Ma, Qian, Wang, Wanyu, Zhao, Hongwei, Wang, Yiqi, Liu, Zitao
In the era of information explosion, spatio-temporal data mining serves as a critical part of urban management. Considering the various fields demanding attention, e.g., traffic state, human activity, and social event, predicting multiple spatio-temp
Externí odkaz:
http://arxiv.org/abs/2309.09500
With the rapid development of digital platforms, users can now interact in endless ways from writing business reviews and comments to sharing information with their friends and followers. As a result, organizations have numerous digital social networ
Externí odkaz:
http://arxiv.org/abs/2305.10527
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Personal knowledge bases (PKBs) are crucial for a broad range of applications such as personalized recommendation and Web-based chatbots. A critical challenge to build PKBs is extracting personal attribute knowledge from users' conversation data. Giv
Externí odkaz:
http://arxiv.org/abs/2211.15324
Publikováno v:
OAGM Workshop 2021 (2021) 31-37
The assessment and valuation of real estate requires large datasets with real estate information. Unfortunately, real estate databases are usually sparse in practice, i.e., not for each property every important attribute is available. In this paper,
Externí odkaz:
http://arxiv.org/abs/2211.09018
Personal knowledge bases (PKBs) are critical to many applications, such as Web-based chatbots and personalized recommendation. Conversations containing rich personal knowledge can be regarded as a main source to populate the PKB. Given a user, a user
Externí odkaz:
http://arxiv.org/abs/2209.09619
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.