Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)

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Research on the Solutions to Cold-Start Problems

Authors
Yuehan Qin1, *, Wuji Chang2, Songtao Zhang3, Yihuan Yan4
1School of Information Science and Technology, Hangzhou Normal University, Hangzhou, Zhejiang, China
2Shanghai United International School, Shanghai, China
3Shanghai HongRunBoYuan School, Shanghai, China
4Pennsylvania State University, University Park, Pennsylvania, USA
*Corresponding author. Email: qinyuehan585@gmail.com
Corresponding Author
Yuehan Qin
Available Online 11 July 2023.
DOI
10.2991/978-2-38476-062-6_3How to use a DOI?
Keywords
Cold-Start; NeuralCF; AutoRec; DropoutNet
Abstract

The recommender system has seeped into each corner of the earth, but any recommender system has to experience the process of lacking data at the beginning. So, how to recommend things well in that condition becomes a cold start problem. The recommendation system cold start problem has always been a big problem in recommendation systems. Many different algorithms are developed in order to better solve the problem. The cold start problem is studied in this paper. The authors try to use neural co-filtering, autoRec and DropoutNet to study this. By comparing different methods to deal with data without project characteristics or user characteristics, it is concluded that DropoutNet has made some improvements to the dataset with new uses or projects.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 July 2023
ISBN
10.2991/978-2-38476-062-6_3
ISSN
2352-5398
DOI
10.2991/978-2-38476-062-6_3How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuehan Qin
AU  - Wuji Chang
AU  - Songtao Zhang
AU  - Yihuan Yan
PY  - 2023
DA  - 2023/07/11
TI  - Research on the Solutions to Cold-Start Problems
BT  - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
PB  - Atlantis Press
SP  - 12
EP  - 18
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-062-6_3
DO  - 10.2991/978-2-38476-062-6_3
ID  - Qin2023
ER  -