參考文獻 |
References
Alpaydin, E. (2020). Introduction to Machine Learning (4 ed.). The MIT Press.
Bakshy, E., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011). Everyone′s an Influencer:
Quantifying Influence on Twitter. Proceedings of the fourth ACM international
conference on Web search and data mining, 65-74.
https://doi.org/10.1145/1935826.1935845
Bhat, P., & Malaganve, P. (2022). A Study on Clustering Facebook Multimedia Based on
Metadata—A Comparative Analysis. In R. Agrawal, J. He, E. Shubhakar Pilli, & S.
Kumar (Eds.), Cyber Security in Intelligent Computing and Communications (pp. 73-
83). Springer Singapore. https://doi.org/10.1007/978-981-16-8012-0_7
Brock, A., Donahue, J., & Simonyan, K. (2018). Large Scale GAN Training For High Fidelity
Natural Image Synthesis. arXiv preprint arXiv:1809.11096.
https://doi.org/10.48550/arXiv.1809.11096
Chen, C.-P. (2013). Exploring Personal Branding on YouTube. Journal of internet commerce,
12(4), 332-347. https://doi.org/10.1080/15332861.2013.859041
Chu, F. Y., Dai, Y. X., Liu, J. Y., Chen, T. J., Chou, L. F., & Hwang, S. J. (2018). A Doctor′s
Name as a Brand: A Nationwide Survey on Registered Clinic Names in Taiwan.
International Journal of Environmental Research and Public Health, 15(6), Article
1134. https://doi.org/10.3390/ijerph15061134
Dehghani, M., & Turner, M. (2015). A Research on Effectiveness of Facebook Advertising on
Enhancing Purchase Intention of Consumers. Computers in Human Behavior, 49, 597-
600. https://doi.org/10.1016/j.chb.2015.03.051
Dolnicar, S., Grün, B., Leisch, F., & Schmidt, K. (2014). Required Sample Sizes for DataDriven Market Segmentation Analyses in Tourism. Journal of Travel Research, 53(3),
296-306. https://doi.org/10.1177/0047287513496475
Duncan, D. T., Rienti, M., Kulldorff, M., Aldstadt, J., Castro, M. C., Frounfelker, R.,
Williams, J. H., Sorensen, G., Johnson, R. M., Hemenway, D., & Williams, D. R.
(2016). Local Spatial Clustering in Youths′ Use of Tobacco, Alcohol, and Marijuana in
Boston. American Journal of Drug and Alcohol Abuse, 42(4), 412-421.
https://doi.org/10.3109/00952990.2016.1151522
Eagle, N., Pentland, A., & Lazer, D. (2009). Inferring Friendship Network Structure by Using
Bobile Phone Data. Proceedings of the National Academy of Sciences of the United
States of America, 106(36), 15274-15278. https://doi.org/10.1073/pnas.0900282106
Ebrahimi, P., Basirat, M., Yousefi, A., Nekmahmud, M., Gholampour, A., & Fekete-Farkas,
M. (2022). Social Networks Marketing and Consumer Purchase Behavior: The
Combination of SEM and Unsupervised Machine Learning Approaches. Big Data and
Cognitive Computing, 6(2), 35. https://www.mdpi.com/1559864
70
Garg, A., Vijayaraghavan, V., Tai, K., Singru, P. M., Jain, V., & Krishnakumar, N. (2015).
Model Development Based on Evolutionary Framework for Condition Monitoring of a
Lathe Machine. Measurement, 73, 95-110.
https://doi.org/https://doi.org/10.1016/j.measurement.2015.04.025
Geva, H., Oestreicher-Singer, G., & Saar-Tsechansky, M. (2019). Using Retweets when
Shaping Our Online Persona: Topic Modeling Approach. Mis Quarterly, 43(2), 501-
524. https://doi.org/10.25300/misq/2019/14346
Giuntini, F. T., Ruiz, L. P., Kirchner, L. D., Passarelli, D. A., Dos Reis, M. D. D., Campbell,
A. T., & Ueyama, J. (2019). How Do I Feel? Identifying Emotional Expressions on
Facebook Reactions Using Clustering Mechanism. Ieee Access, 7, 53909-53921.
https://doi.org/10.1109/access.2019.2913136
Gull, K. C., Angadi, A. B., Seema, C. G., & Kanakaraddi, S. G. (2014, 21-22 Feb. 2014). A
Clustering Technique to Rise up the Marketing Tactics by Looking out the Key Users
Taking Facebook as a Case Study. 2014 IEEE International Advance Computing
Conference (IACC), 579-585. https://doi.org/10.1109/IAdCC.2014.6779389
He, Q., Wang, X. W., Zhao, Y., Yi, B., Lu, X. J., Yang, M. Z., & Huang, M. (2021).
Reinforcement-Learning-Based Competitive Opinion Maximization Approach in
Signed Social Networks. Ieee Transactions on Computational Social Systems.
https://doi.org/10.1109/tcss.2021.3120421
Indvik, L. (2013). The 7 Species of Social Commerce. https://mashable.com/archive/socialcommerce-definition
Kemp, S. (2017). DIGITAL 2017: GLOBAL DIGITAL OVERVIEW.
https://datareportal.com/reports/digital-2017-global-digital-overview
Kemp, S. (2018). DIGITAL 2018: GLOBAL DIGITAL OVERVIEW.
https://datareportal.com/reports/digital-2018-global-digital-overview
Kemp, S. (2019). DIGITAL 2019: GLOBAL DIGITAL OVERVIEW.
https://datareportal.com/reports/digital-2019-global-digital-overview
Kemp, S. (2020). DIGITAL 2020: GLOBAL DIGITAL OVERVIEW.
https://datareportal.com/reports/digital-2020-global-digital-overview
Kemp, S. (2021). DIGITAL 2021: GLOBAL OVERVIEW REPORT.
https://datareportal.com/reports/digital-2021-global-overview-report
Kemp, S. (2022a). DIGITAL 2022: GLOBAL OVERVIEW REPORT.
https://datareportal.com/reports/digital-2022-global-overview-report
Kemp, S. (2022b). DIGITAL 2022: TAIWAN. https://datareportal.com/reports/digital-2022-
taiwan
71
Kempe, D., Kleinberg, J., & Tardos, É. (2003). Maximizing the Spread of Influence Through a
Social Network Proceedings of the ninth ACM SIGKDD international conference on
Knowledge discovery and data mining,137-146. Washington, D.C.
https://doi.org/10.1145/956750.956769
Khedher, M. (2014). Personal Branding Phenomenon. International Journal of Information,
Business and Management, 6(2), 29-40.
https://ezproxy.lib.ncu.edu.tw/login?url=https://www.proquest.com/scholarlyjournals/personal-branding-phenomenon/docview/1511120777/se-2?accountid=12690
Kim, C., & Yang, S. U. (2017). Like, Comment, and Share on Facebook: How Each Behavior
Differs from the Other. Public Relations Review, 43(2), 441-449.
https://doi.org/10.1016/j.pubrev.2017.02.006
Kiran, B. R., Sobh, I., Talpaert, V., Mannion, P., Sallab, A. A. A., Yogamani, S., & Perez, P.
(2022). Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE
Transactions on Intelligent Transportation Systems, 23(6), 4909-4926.
https://doi.org/10.1109/tits.2021.3054625
Labrecque, L. I., Markos, E., & Milne, G. R. (2011). Online Personal Branding: Processes,
Challenges, and Implications. Journal of Interactive Marketing, 25(1), 37-50.
https://doi.org/10.1016/j.intmar.2010.09.002
Lair, D. J., Sullivan, K., & Cheney, G. (2005). Marketization and the Recasting of the
Professional Self: The Rhetoric and Ethics of Personal Branding. Management
communication quarterly, 18(3), 307-343. https://doi.org/10.1177/0893318904270744
Li, H., Xu, M. T., Bhowmick, S. S., Rayhan, J. S., Sun, C. S., & Cui, J. T. (2022). PIANO:
Influence Maximization Meets Deep Reinforcement Learning. Ieee Transactions on
Computational Social Systems, 1-13. https://doi.org/10.1109/tcss.2022.3164667
Li, H. F., Parikh, D., He, Q., Qian, B. Y., Li, Z. G., Fang, D. P., & Hampapur, A. (2014).
Improving Rail Network Velocity: A Machine Learning Approach to Predictive
Maintenance. Transportation Research Part C-Emerging Technologies, 45, 17-26.
https://doi.org/10.1016/j.trc.2014.04.013
Meta. (2022a). Meta Ad Library API. https://www.facebook.com/ads/library/api/?source=navheader
Meta. (2022b). QUEENSHOP. https://www.facebook.com/business/success/2-
queenshop?ref=search_new_0
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A.,
Riedmiller, M., Fidjeland, A. K., Ostrovski, G., Petersen, S., Beattie, C., Sadik, A.,
Antonoglou, I., King, H., Kumaran, D., Wierstra, D., Legg, S., & Hassabis, D. (2015).
Human-level Control Through Deep Rreinforcement Learning. Nature, 518(7540),
529-533. https://doi.org/10.1038/nature14236
Moulard, J. G., Garrity, C. P., & Rice, D. H. (2015). What Makes a Human Brand Authentic?
72
Identifying the Antecedents of Celebrity Authenticity. Psychology & Marketing, 32(2),
173-186. https://doi.org/10.1002/mar.20771
Nainggolan, R., Perangin-angin, R., Simarmata, E., & Tarigan, A. F. (2019). Improved the
Performance of the K-means Cluster Using the Sum of Squared Error (SSE)
Optimized by Using the Elbow Method. Journal of Physics: Conference Series, 1361.
https://iopscience.iop.org/article/10.1088/1742-6596/1361/1/012015/meta
Pai, P. F., & Wang, W. C. (2020). Using Machine Learning Models and Actual Transaction
Data for Predicting Real Estate Prices. Applied Sciences-Basel, 10(17), Article 5832.
https://doi.org/10.3390/app10175832
Patel, J., Shah, S., Thakkar, P., & Kotecha, K. (2015). Predicting Stock and Stock Price Index
Movement Using Trend Deterministic Data Preparation and Machine Learning
Techniques. Expert Systems with Applications, 42(1), 259-268.
https://doi.org/https://doi.org/10.1016/j.eswa.2014.07.040
Peng, S., Yang, A., Cao, L., Yu, S., & Xie, D. (2017). Social Influence Modeling Using
Information Theory in Mobile Social Networks. Information Sciences, 379, 146-159.
https://doi.org/10.1016/j.ins.2016.08.023
Peters, T. (1997). The Brand Called You. NIScPR-CSIR, India.
https://www.fastcompany.com/28905/brand-called-you
Pineau, J., Guez, A., Vincent, R., Panuccio, G., & Avoli, M. (2009). Treating Epilepsy via
Adaptive Neurostimulation: A Reinforcement Learning Approach. International
Journal of Neural Systems, 19(4), 227-240.
https://doi.org/10.1142/s0129065709001987
Quan, T. T., Mai, D. T., & Tran, T. D. (2020). CID: Categorical Influencer Detection on
Microtext-based Social Media. Online Information Review, 1027-1055.
https://doi.org/10.1108/oir-02-2019-0062
Rangarajan, D., Gelb, B. D., & Vandaveer, A. (2017). Strategic Personal Branding—And How
It Pays Off. Business Horizons, 60(5), 657-666.
https://doi.org/10.1016/j.bushor.2017.05.009
ReportLinker. (2022). Social Commerce Global Market Report 2022.
https://www.globenewswire.com/news-release/2022/03/08/2398564/0/en/SocialCommerce-Global-Market-Report-2022.html
Ressom, H. W., Varghese, R. S., Zhang, Z., Xuan, J. H., & Clarke, R. (2008). Classification
Algorithms for Phenotype Prediction in Genomics and Proteomics. Frontiers in
Bioscience-Landmark, 13, 691-708. https://doi.org/10.2741/2712
Rios, S. A., Aguilera, F., Nunez-Gonzalez, J. D., & Grana, M. (2019). Semantically Enhanced
Network Analysis for Influencer Identification in Online Social Networks.
Neurocomputing, 326, 71-81. https://doi.org/10.1016/j.neucom.2017.01.123
Scheidt, S., Gelhard, C., & Henseler, J. (2020). Old Practice, but Young Research Field: A
Systematic Bibliographic Review of Personal Branding. Front Psychol, 11, 1809.
73
https://doi.org/10.3389/fpsyg.2020.01809
Scheitle, C. P., & Ecklund, E. H. (2017). The Influence of Science Popularizers on The
Public′s View of Religion and Science: An Experimental Assessment. Public
Understanding of Science, 26(1), 25-39. https://doi.org/10.1177/0963662515588432
Shafiee, M., Gheidi, S., & Khorrami, M. S. (2020). Proposing a New Framework for Personal
Brand Positioning. European research on management and business economics, 26(1),
45-54. https://doi.org/10.1016/j.iedeen.2019.12.002
Shin, H. W., & Sohn, S. Y. (2004). Segmentation of Stock Trading Customers According to
Potential Value. Expert Systems with Applications, 27(1), 27-33.
https://doi.org/10.1016/j.eswa.2003.12.002
Shon, M., & Lee, D. (2021). Perceived Consumer Discomfort of Online Video
Advertising :Analysis of Characteristics by Consumer Cluster. Journal of Scientific &
Industrial Research, 80(6), 528-536. https://www.webofscience.com/wos/woscc/fullrecord/WOS:000692274500008?SID=EUW1ED0D13MSvALSvU4eb97IE3UCK
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G.,
Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., Dieleman, S.,
Grewe, D., Nham, J., Kalchbrenner, N., Sutskever, I., Lillicrap, T., Leach, M.,
Kavukcuoglu, K., Graepel, T., & Hassabis, D. (2016). Mastering the Game of Go with
Deep Neural Networks and Tree Search. Nature, 529(7587), 484-489.
https://doi.org/10.1038/nature16961
Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre,
L., Kumaran, D., Graepel, T., Lillicrap, T., Simonyan, K., & Hassabis, D. (2018). A
General Reinforcement Learning Algorithm that Masters Chess, Shogi, and Go
Through Self-play. Science, 362(6419), 1140-1144.
https://doi.org/10.1126/science.aar6404
Sun, Z. H., Zuo, T. Y., Liang, D., Ming, X. G., Chen, Z. H., & Qiu, S. Q. (2021). GPHC: A
Heuristic Clustering Method to Customer Segmentation. Applied Soft Computing, 111,
Article 107677. https://doi.org/10.1016/j.asoc.2021.107677
Susto, G. A., Schirru, A., Pampuri, S., McLoone, S., & Beghi, A. (2015). Machine Learning
for Predictive Maintenance: A Multiple Classifier Approach. Ieee Transactions on
Industrial Informatics, 11(3), 812-820. https://doi.org/10.1109/tii.2014.2349359
Tan, P.-N., Steinbach, M., Karpatne, A., & Kumar, V. (2019). Introduction to Data Mining
(2nd ed.).
Trehan, D., & Sharma, R. (2020). Assessing Advertisement Quality on C2C Social Commerce
Platforms: an Information Quality Approach Using Text Mining. Online Information
Review, 46-64. https://doi.org/10.1108/OIR-07-2020-0320
Tsai, C. F., Hu, Y. H., & Lu, Y. H. (2015). Customer Segmentation Issues and Strategies for an
Automobile Dealership with Two Clustering Techniques. Expert Systems, 32(1), 65-
76. https://doi.org/10.1111/exsy.12056
74
Tsai, C. F., & Wang, S. P. (2009). Stock Price Forecasting by Hybrid Machine Learning
Techniques. Proceedings of the international multiconference of engineers and
computer scientists, 755-760.
http://www.iaeng.org/publication/IMECS2009/IMECS2009_pp755-760.pdf
Wang, F., Jiang, W., Li, X., & Wang, G. (2018). Maximizing Positive Influence Spread in
Online Social Networks via Fluid Dynamics. Future Generation Computer Systems,
86, 1491-1502. https://doi.org/10.1016/j.future.2017.05.050
Wang, F., She, J., Ohyama, Y., Jiang, W., Min, G., Wang, G., & Wu, M. (2021). Maximizing
Positive Influence in Competitive Social Networks: A Trust-based Solution.
Information Sciences, 546, 559-572. https://doi.org/10.1016/j.ins.2020.09.002
Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., Qiao, Y., & Change Loy, C. (2018).
Esrgan: Enhanced Super-resolution Generative Adversarial Networks. Proceedings of
the European conference on computer vision (ECCV) workshops.
https://link.springer.com/conference/eccv
Wei, J., Jian-qi, Z., & Xiang, Z. (2011). Face Recognition Method Based on Support Vector
Machine and Particle Swarm Optimization. Expert Systems with Applications, 38(4),
4390-4393. https://doi.org/10.1016/j.eswa.2010.09.108
Wroblewski, L., & Grzesiak, M. (2020). The Impact of Social Media on the Brand Capital of
Famous People. Sustainability, 12(16), Article 6414.
https://doi.org/10.3390/su12166414
Zhang, K., Du, H., & Feldman, M. W. (2017). Maximizing Influence in a Social Network:
Improved Results Using a Genetic Algorithm. Physica A: Statistical Mechanics and its
Applications, 478, 20-30. https://doi.org/10.1016/j.physa.2017.02.067
Zhang, T. T., Yan, X. B., Wang, W. Y. C., & Chen, Q. (2021). Unveiling Physicians′ Personal
Branding Strategies in Online Healthcare Service Platforms. Technological
Forecasting and Social Change, 171, Article 120964.
https://doi.org/10.1016/j.techfore.2021.120964
Zhang, X., Habibi Lashkari, A., & Ghorbani, A. A. (2021). Classifying and Clustering
Malicious Advertisement Uniform Resource Locators Using Deep Learning.
Computational Intelligence, 37(1), 511-537.
Zhang, Y. C., Liu, Y., Zhang, H. F., Cheng, H., & Xiong, F. (2011). The Research of
Information Dissemination Model on Online Social Network. Acta Physica Sinica,
60(5), Article 050501. https://www.webofscience.com/wos/woscc/fullrecord/WOS:000291239700010
75
Zhao, Y. F., Zeng, D. L., Socinski, M. A., & Kosorok, M. R. (2011). Reinforcement Learning
Strategies for Clinical Trials in Nonsmall Cell Lung Cancer. Biometrics, 67(4), 1422-
1433. https://doi.org/10.1111/j.1541-0420.2011.01572.x
Zheng, X., Zhong, Y., Zeng, D., & Wang, F. Y. (2012). Social Influence and Spread Dynamics
in Social Networks. Front Comput Sci, 6(5), 611-620. https://doi.org/10.1007/s11704-
012-1176-1
金溥聰 (2003)。 形象可永遠被包裝?. https://www.gvm.com.tw/article/8951
符敦國 (2019)。 【投書】2020 選舉形象戰!從韓流崛起看政治人物「角色行銷」的重
要性. https://opinion.cw.com.tw/blog/profile/52/article/8259
程倚華 (2021)。 獨家調查!2021 台灣 100 大影響力網紅榜單,誰連續 3 年稱王?誰空
降?. Business Next Media Corp. https://www.bnext.com.tw/article/64752/2021-
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