Coherent Personalized Paragraph Generation for a Successful Landing Page

Date

2022-11-12

Author

Çetinkaya, Yusuf Mucahit
Toroslu, İsmail Hakkı
Davulcu, Hasan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Social media has become an important place for online marketing like never before. Businesses use various techniques to identify and reach potential customers across multiple platforms and deliver a message to grab their attention. A notable post could attract potential customers to the product landing page. However, the acquisition is only the beginning. The landing page should respond to the visitor's need for persuasion to increase conversion rates. Showing every visitor the same page is far from that goal. Even if the product meets everyone's needs, their priorities may differ. In this study, we propose a pipeline that includes gathering and identifying potential customers from Twitter, determining their priorities by understanding the context of their message, and creating a coherent paragraph that addresses the issue to display on the landing page.

URI

https://hdl.handle.net/11511/100792

Conference Name

14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

Y. M. Çetinkaya, İ. H. Toroslu, and H. Davulcu, “Coherent Personalized Paragraph Generation for a Successful Landing Page,” presented at the 14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, İstanbul, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/100792.