최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.28 no.1, 2022년, pp.311 - 328
(경희대학교 대학원 경영학과) , 이병현 (경희대학교 대학원 빅데이터응용학과) , 최일영 (경희대학교 경영대학원) , 정재호 (경희대학교 대학원 경영학과) , 김재경 (경희대학교 경영대학 & 대학원 빅데이터응용학과)
Because of the spread of smartphones due to the development of information and communication technology, online shopping mall services can be used on computers and mobile devices. As a result, the number of users using the online shopping mall service increases rapidly, and the types of products tra...
Abdollahi, B., and O. Nasraoui, "Using explainability for constrained matrix factorization," In Proceedings of the Eleventh ACM Conference on Recommender Systems, (2017), 79-83.
Al-Bashiri, H., M. A. Abdulgabber, A. Romli, and H. Kahtan, "An improved memory-based collaborative filtering method based on the TOPSIS technique," PloS one, Vol.13, No.10 (2018), e0204434.
Al-Smadi, M., B. Talafha, M. Al-Ayyoub, and Y. Jararweh, "Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews," International Journal of Machine Learning and Cybernetics, Vol.10, No.8(2019), 2163-2175.
Bang, H., H. Lee, and J. H. Lee, "TV Program recommender system using viewing time patterns," Journal of the Korean Institute of Intelligent Systems, Vol.25, No.5(2015), 431-436.
Castelli, M., L. Manzoni, L. Vanneschi, and A. Popovic, "An expert system for extracting knowledge from customers' reviews: The case of amazon. com, inc.," Expert Systems with Applications, Vol.84, 117-126.
Chintagunta, P. K., S. Gopinath, and S. Venkataraman, "The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets," Marketing science, Vol.29, No.5(2010), 944-957.
Choeh, J. Y., S. K. Lee, and Y. B. Cho, "Applying rating score's reliability of customers to enhance prediction accuracy in recommender system," The Journal of the Korea Contents Association, Vol.13, No.7(2013), 379-385.
Eslami, S. P., M. Ghasemaghaei, and K. Hassanein, "Which online reviews do consumers find most helpful? A multi-method investigation," Decision Support Systems, Vol.113, (2018) 32-42.
Fang, Q., C. Xu, M. S. Hossain, and G. Muhammad, "Stcaplrs: A spatial-temporal context-aware personalized location recommendation system," ACM Transactions on Intelligent systems and technology (TIST), Vol.7, No.4(2016), 1-30.
Ge, S., T. Qi, C. Wu, F. Wu, X. Xie, and Y. Huang, "Helpfulness-aware review based neural recommendation," CCF transactions on pervasive computing and interaction, Vol.1, No.4(2019), 285-295.
Goldberg, L. R., "The development of markers for the Big-Five factor structure," Psychological assessment, Vol.4, No.1(1992), 26.
Gomez-Uribe, C. A., and N. Hunt, "The netflix recommender system: Algorithms, business value, and innovation," ACM Transactions on Management Information Systems (TMIS), Vol.6, No.4(2015), 1-19.
Koohi, H., & K. Kiani, "User based collaborative filtering using fuzzy C-means," Measurement, 91, (2016), 134-139.
Lee, S. H., A. R. Jo, and H. Y. Lee, "The Medical Service Customers Satisfaction Factors Extracted from Online Hospital Review Data Using Latent DirichletAllocation Method," Journal of Korea Service Management Society, Vol.18, No.5(2017), 23-44.
Linden, G., B. Smith, and J. York, "Amazon. com recommendations: Item-to-item collaborative filtering," IEEE Internet computing, Vol.7, No.1(2003), 76-80.
Lu, L., W. Xu, and S. Qiao, "A fast SVD for multilevel block Hankel matrices with minimal memory storage," Numerical Algorithms, Vol.69, No.4(2015), 875-891.
Moore, S. G., "Attitude predictability and helpfulness in online reviews: The role of explained actions and reactions," Journal of Consumer Research, Vol.42, No.1(2015), 30-44.
Nakayama, M., and Y. Wan, "The cultural impact on social commerce: A sentiment analysis on Yelp ethnic restaurant reviews," Information & Management, Vol.56, No.2(2019), 271-279.
Pradel, B., N. Usunier, and P. Gallinari, "Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics," In Proceedings of the sixth ACM conference on Recommender systems, (2012), 147-154
Qiu, J., J. Wang, S. Yao, K. Guo, B. Li, E. Zhou, and H. Yang, "Going deeper with embedded fpga platform for convolutional neural network," In Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, (2016), 26-35.
Qiu, J., Q. Wu, G. Ding, Y. Xu, and S. Feng, "A survey of machine learning for big data processing," EURASIP Journal on Advances in Signal Processing, Vol.2016, No.1(2016), 1-16.
Ren, G., and T. Hong, "Examining the relationship between specific negative emotions and the perceived helpfulness of online reviews," Information Processing & Management, Vol.56, No.4(2019), 1425-1438.
Shani, G., and A. Gunawardana, "Evaluating recommendation systems," In Recommender systems handbook, Springer, Boston, 2011.
Shengli, L., and L. Fan, "The interaction effects of online reviews and free samples on consumers' downloads: An empirical analysis," Information Processing & Management, Vol.56, No.6(2019), 102071.
Smith, B., and G. Linden, "Two decades of recommender systems at Amazon. com," Ieee internet computing, Vol.21, No.3(2017), 12-18.
Srifi, M., A. Oussous, A. Ait Lahcen, and S. Mouline, "Recommender systems based on collaborative filtering using review texts?A survey," Information, Vol.11, No.6(2020), 317.
Su, X., and T. M. Khoshgoftaar, "A survey of collaborative filtering techniques," Advances in artificial intelligence, (2009), 2009.
Sun, Y., Z. Wang, P. Fu, Q. Jiang, T. Yang, J. Li, and X. Ge, "The impact of relative humidity on aerosol composition and evolution processes during wintertime in Beijing, China," Atmospheric Environment, Vol.77, (2013), 927-934.
Thakkar, P., K. Varma, V. Ukani, S. Mankad, and S. Tanwar, "Combining user-based and item-based collaborative filtering using machine learning," In Information and Communication Technology for Intelligent Systems, Springer, Singapore, 2019.
Wang, Y., J. Wang, and T. Yao, "What makes a helpful online review? A meta-analysis of review characteristics," Electronic Commerce Research, Vol.19, No.2(2019), 257-284.
Yun, Y., D. Hooshyar, J. Jo, and H. Lim, "Developing a hybrid collaborative filtering recommendation system with opinion mining on purchase review," Journal of Information Science, Vol.44 No.3(2018), 331-344.
Zarzour, H., Z. Al-Sharif, M. Al-Ayyoub, and Y. Jararweh, "A new collaborative filtering recommendation algorithm based on dimensionality reduction and clustering techniques," In 2018 9th international conference on information and communication systems (ICICS), (2018), 102-106.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.