Sentiment user profile analysis based on forgetting curve in mobile environments

Sang Min Park; Doo Kwon Baik; Young Gab Kim

doi:10.1109/ICCI-CC.2016.7862036

Sentiment user profile analysis based on forgetting curve in mobile environments

Sang Min Park, Doo Kwon Baik, Young Gab Kim

Graduate School of Convergence IT

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

The user profile is a way of describing user characteristics using collected information about what the user prefers. However, it cannot be used for other applications with a general purpose, because it is generally created for personal recommendation and search. Furthermore, there are restrictions to analyze the user profile in terms of temporal influence in mobile environments. In this paper, in order to overcome these limitations, we propose a sentiment user profile analysis, which can analyze individual user characteristics based on the forgetting curve in mobile environments. In order to evaluate the effectiveness and feasibility of the proposed analysis, it has been implemented and applied to clothing domain. Experimental results show that the proposed analysis extracts the individual user characteristics with better accuracy than the existing method.

Original language	English
Title of host publication	Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	207-211
Number of pages	5
ISBN (Electronic)	9781509038466
DOIs	https://doi.org/10.1109/ICCI-CC.2016.7862036
Publication status	Published - 2017 Feb 21
Event	15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 - Stanford, United States Duration: 2016 Aug 22 → 2016 Aug 23

Other

Other	15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016
Country	United States
City	Stanford
Period	16/8/22 → 16/8/23

Fingerprint

Keywords

Forgetting curve
Sentiment analysis
Temporal analysis
User profile

ASJC Scopus subject areas

Cognitive Neuroscience
Artificial Intelligence
Software
Computer Vision and Pattern Recognition
Information Systems

Cite this

Park, S. M., Baik, D. K., & Kim, Y. G. (2017). Sentiment user profile analysis based on forgetting curve in mobile environments. In Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 (pp. 207-211). [7862036] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCI-CC.2016.7862036

Sentiment user profile analysis based on forgetting curve in mobile environments. / Park, Sang Min; Baik, Doo Kwon; Kim, Young Gab.

Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 207-211 7862036.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, SM, Baik, DK & Kim, YG 2017, Sentiment user profile analysis based on forgetting curve in mobile environments. in Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016., 7862036, Institute of Electrical and Electronics Engineers Inc., pp. 207-211, 15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016, Stanford, United States, 16/8/22. https://doi.org/10.1109/ICCI-CC.2016.7862036

@inproceedings{ea8f8d533d324bef87b87eb60bbb57e3,

title = "Sentiment user profile analysis based on forgetting curve in mobile environments",

abstract = "The user profile is a way of describing user characteristics using collected information about what the user prefers. However, it cannot be used for other applications with a general purpose, because it is generally created for personal recommendation and search. Furthermore, there are restrictions to analyze the user profile in terms of temporal influence in mobile environments. In this paper, in order to overcome these limitations, we propose a sentiment user profile analysis, which can analyze individual user characteristics based on the forgetting curve in mobile environments. In order to evaluate the effectiveness and feasibility of the proposed analysis, it has been implemented and applied to clothing domain. Experimental results show that the proposed analysis extracts the individual user characteristics with better accuracy than the existing method.",

keywords = "Forgetting curve, Sentiment analysis, Temporal analysis, User profile",

author = "Park, {Sang Min} and Baik, {Doo Kwon} and Kim, {Young Gab}",

year = "2017",

month = feb

day = "21",

doi = "10.1109/ICCI-CC.2016.7862036",

language = "English",

pages = "207--211",

booktitle = "Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 ; Conference date: 22-08-2016 Through 23-08-2016",

}

TY - GEN

T1 - Sentiment user profile analysis based on forgetting curve in mobile environments

AU - Park, Sang Min

AU - Baik, Doo Kwon

AU - Kim, Young Gab

PY - 2017/2/21

Y1 - 2017/2/21

N2 - The user profile is a way of describing user characteristics using collected information about what the user prefers. However, it cannot be used for other applications with a general purpose, because it is generally created for personal recommendation and search. Furthermore, there are restrictions to analyze the user profile in terms of temporal influence in mobile environments. In this paper, in order to overcome these limitations, we propose a sentiment user profile analysis, which can analyze individual user characteristics based on the forgetting curve in mobile environments. In order to evaluate the effectiveness and feasibility of the proposed analysis, it has been implemented and applied to clothing domain. Experimental results show that the proposed analysis extracts the individual user characteristics with better accuracy than the existing method.

AB - The user profile is a way of describing user characteristics using collected information about what the user prefers. However, it cannot be used for other applications with a general purpose, because it is generally created for personal recommendation and search. Furthermore, there are restrictions to analyze the user profile in terms of temporal influence in mobile environments. In this paper, in order to overcome these limitations, we propose a sentiment user profile analysis, which can analyze individual user characteristics based on the forgetting curve in mobile environments. In order to evaluate the effectiveness and feasibility of the proposed analysis, it has been implemented and applied to clothing domain. Experimental results show that the proposed analysis extracts the individual user characteristics with better accuracy than the existing method.

KW - Forgetting curve

KW - Sentiment analysis

KW - Temporal analysis

KW - User profile

UR - http://www.scopus.com/inward/record.url?scp=85016192751&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85016192751&partnerID=8YFLogxK

U2 - 10.1109/ICCI-CC.2016.7862036

DO - 10.1109/ICCI-CC.2016.7862036

M3 - Conference contribution

AN - SCOPUS:85016192751

SP - 207

EP - 211

BT - Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016

Y2 - 22 August 2016 through 23 August 2016

ER -

Access to Document

10.1109/ICCI-CC.2016.7862036