Marketing evaluation and prediction methods based on transactional data

Author:

Fu Jiajia1ORCID,Tian Jing2ORCID,Ma He3ORCID

Affiliation:

1. Viterbi School of Engineering, University of Southern California, The United States

2. School of Finance and Public Economics, Shanxi University of Finance and Economics, China

3. China Orient International Asset Management Limited, China

Publisher

ACM

Reference11 articles.

1. Tongtong Zhou. Emotional extremeness of review text and its inconsistency with scoring affect usefulness [D]. Harbin Institute of Technology, 2019.

2. Juha Leino and Kari-Jouko Räihä. Case Amazon: Ratings and Reviews as Part of Recommendations University of Tampere. [J] Department of Computer Sciences Tampere Unit for Computer-Human Interaction FIN-33014 University of Tampere, Finland. 2007.

3. Shu Du. Research on Taobao Review Mining and Its Application [D]. University of Electronic Science and Technology of China, 2017.

4. Gaitniece E. Digital marketing performance evaluation methods [C]//CBU International Conference Proceedings. 2018, 6: 135-140.

5. Research on marketing prediction model based on Markov prediction [J];Chen H;Wireless Communications and Mobile Computing,2021

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