지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.5
- 수록면
- 27 - 35 (9page)
이용수
초록· 키워드
오류제보하기
Because the big data industry holds a significant position nowadays, Meta-Data has been adopted rapidly in various fields. In this paper, we introduce a model that exploits Meta-Data consisting of numerous production data to extract features using a pretrained deep learning model with image and text information. Thus, we can build a relational model between the production data to realize a recommendation system. Regarding the dataset, we determined that combining both image and text data is better than using one type of data to achieve a more accurate prediction from the relational model. Concerning the condition of two mixed languages (English and Korean), the method produces a satisfactory result. According to the relational model of the two products, we can design a recommendation system that suggests products that would be of interest to consumers.
목차
ABSTRACT
1. Introduction
2. Related Work
3. Proposed Method
4. Experiments
5. Conclusion and Discussion
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Establishing an open access software for systematic reviews and meta-analysis on agricultural products
한국분석과학회 학술대회
2022 .11
-
Supervised text data augmentation method for deep neural networks
CSAM(Communications for Statistical Applications and Methods)
2023 .05
-
A Study on Image Recommendation System based on Speech Emotion Information
조선자연과학논문집
2018 .01
-
Application of the index matrix operations over relational databases
Advanced Studies in Contemporary Mathematics
2016 .01
-
Applications of Big Data and AI-Driven Technologies in High-Dimensional Data Analysis: Taiwanese Bankruptcy Prediction Using Machine Learning Models with Factor Analysis
JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2024 .12
-
Dickey-Fuller Test for an Extended MA Model
Quantitative Bio-Science
2019 .05
-
자기해석유형과 모바일 상품추천유형, 패션제품유형이 구매의도에 미치는 영향
패션 비즈니스
2021 .11
-
Applying Standards of Image Quality: Issues and Strategies
대한원격탐사학회지
2020 .01
-
An Optimal Method to Improve the Visual Quality of Medical Images
조선자연과학논문집
2015 .01
-
A Method for Text Information Separation from Floorplan Using SIFT Descriptor
대한원격탐사학회지
2018 .01
-
Deep Recommender System Using Purchase History Data
Quantitative Bio-Science
2017 .05
-
A review and comparison of convolution neural network models under a unified framework
CSAM(Communications for Statistical Applications and Methods)
2022 .03
-
Multi-scale Dilated Attention-based Generative Adversarial Network for Infrared and Visible Image Fusion
Current Optics and Photonics
2025 .04
-
Tutorial and applications of convolutional neural network models in image classification
한국데이터정보과학회지
2022 .05
-
Area-wise relational knowledge distillation
CSAM(Communications for Statistical Applications and Methods)
2023 .09
-
New Zealand National Brand expressed in Fashion Design
패션 비즈니스
2018 .01
-
Dental Image Data Generation for Instance Segmentation using Generative Adversarial Networks
Quantitative Bio-Science
2023 .11
-
델파이 분석을 이용한 활동 기반 농촌 관계인구 유형화 연구
한국지역사회생활과학회지
2023 .11
-
Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images
한국현미경학회지
2020 .01
-
Erratum to “A meta-analysis for the effectiveness of programs for promoting family resilience in Korea”
한국데이터정보과학회지
2019 .09
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2022-047-001343710