Research on Understanding the Effect of Deep Learning on User Preferences
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-020-05112-2.pdf
Reference135 articles.
1. Kim, K.; Ahn, H.: A recommender system using GA K-means clustering in an online shopping market. Expert Syst. Appl. 34, 1200–1209 (2008). https://doi.org/10.1016/j.eswa.2006.12.025
2. Meteren, R. Van; Someren, M. Van: Using content-based filtering for recommendation. ECML/MLNET Work. Mach. Learn. New Inf. Age. (2000). https://doi.org/10.1125/5743
3. Vekariya, V.; Kulkarni, G.R.: Hybrid recommender systems: survey and experiments. In: 2012 2nd International Conference on Digital Information and Communications Technology its APPL. DICTAP 2012, pp. 469–473 (2012). https://doi.org/10.1109/DICTAP.2012.6215409
4. Zhang, X.; Liu, H.; Chen, X.; Zhong, J.; Wang, D.: A novel hybrid deep recommendation system to differentiate user’s preference and item’s attractiveness. Inf. Sci. (Ny) 519, 306–316 (2020). https://doi.org/10.1016/j.ins.2020.01.044
5. Peterson J.J.; Yahyah M.; Lief K.; H.N.: Predictive distributions for constructing the ICH Q8 design space. In: Comprehensive Quality by Design for Pharmaceutical Product Development and Manufacture, pp. 55–70 (2017). https://doi.org/10.1145/1143844.1143865
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Digital media entertainment technology based on artificial intelligence robot in art teaching simulation;Entertainment Computing;2025-01
2. Transfer learning model for cash-instrument prediction adopting a Transformer derivative;Journal of King Saud University - Computer and Information Sciences;2024-03
3. Deep Learning-Based Business Recommendation System in Intelligent Vehicles;Mobile Information Systems;2023-04-14
4. Music Deep Learning: Deep Learning Methods for Music Signal Processing—A Review of the State-of-the-Art;IEEE Access;2023
5. Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review, Taxonomy, Issues, and Future Directions;IEEE Access;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3