SUM'20: State-based User Modelling
SUM'20: State-based User Modelling
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SUM20:基于状态的用户建模
DOI:
10.1145/3336191.3371883
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Bulathwela S
中科院分区:
文献类型:
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作者:
Bulathwela S
Capturing and effectively utilising user states and goals is becoming a timely challenge for successfully leveraging intelligent and usercentric systems in differentweb search and data mining applications. Examples of such systems are conversational agents, intelligent assistants, educational and contextual information retrieval systems, recommender/match-making systems and advertising systems, all of which rely on identifying the user state in order to provide the most relevant information and assist users in achieving their goals. There has been, however, limited work towards building such state-aware intelligent learning mechanisms. Hence, devising information systems that can keep track of the user's state has been listed as one of the grand challenges to be tackled in the next few years [1]. It is thus timely to organize a workshop that re-visits the problem of designing and evaluating state-aware and user-centric systems, ensuring that the community (spanning academic and industrial backgrounds) works together to tackle these challenges.
DOI:
10.1145/3274784.3274788
发表时间:
2018-08
期刊:
SIGIR Forum
影响因子:
--
作者:
N. Kando;Alistair Moffat;Falk Scholer;Laurianne Sitbon;Damiano Spina;A. Trotman;E. Voorhees;Emine Yilmaz;G. Zuccon
通讯作者:
N. Kando;Alistair Moffat;Falk Scholer;Laurianne Sitbon;Damiano Spina;A. Trotman;E. Voorhees;Emine Yilmaz;G. Zuccon