TY - GEN
T1 - Personalizing large-scale text classification by modeling individual differences
AU - Lee, Jungho
AU - Choi, Byung Ju
AU - Kim, Yeachan
AU - Kim, Kang Min
AU - Ryu, Woo Jong
AU - Lee, Sangkeun
N1 - Funding Information:
This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2018R1A2A1A05078380).
Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/3/30
Y1 - 2020/3/30
N2 - Large-scale text classification is used to organize and subsequently, analyze textual information into a variety of topics effectively. However, most of existing large-scale text classification models tend to draw similar classification results without accounting for the differences in individual perceptions, as may be discernable through the text semantics based on distinct human characteristics. In this paper, we propose a personalized large-scale text classification model, which factors in these individual differences when classifying data.
AB - Large-scale text classification is used to organize and subsequently, analyze textual information into a variety of topics effectively. However, most of existing large-scale text classification models tend to draw similar classification results without accounting for the differences in individual perceptions, as may be discernable through the text semantics based on distinct human characteristics. In this paper, we propose a personalized large-scale text classification model, which factors in these individual differences when classifying data.
KW - Large-scale text classification
KW - Personalization
KW - User modeling
UR - http://www.scopus.com/inward/record.url?scp=85083030249&partnerID=8YFLogxK
U2 - 10.1145/3341105.3374075
DO - 10.1145/3341105.3374075
M3 - Conference contribution
AN - SCOPUS:85083030249
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 900
EP - 902
BT - 35th Annual ACM Symposium on Applied Computing, SAC 2020
PB - Association for Computing Machinery
T2 - 35th Annual ACM Symposium on Applied Computing, SAC 2020
Y2 - 30 March 2020 through 3 April 2020
ER -