Enhancing e-commerce listings with custom visual styles : a novel approach with vision-language models | |
| Author | Huynh Ngoc Nhu Y |
| Call Number | AIT Project no.PMDS-23-10 |
| Subject(s) | Human-computer interaction Internet marketing--Data processing Artificial intelligence Neural networks (Computer science) |
| Note | A project study submitted in partial fulfillment of the requirements for the degree of Professional Master in Data Science and Artificial Intelligence Applications |
| Publisher | Asian Institute of Technology |
| Abstract | Navigating the transformative intersection of artistry and technology, this study ad dresses a pivotal gap in e-commerce, focusing on the enhancement of visual presentation in product listings. Motivated by the influential role of first impressions in consumer be havior, the research is inspired to redefine the e-commerce narrative by integrating cus tom visual styles through innovative AI technologies. The project is driven by a vision to unlock the potential of artistic expression, aiming to create personalized and captivating shopping experiences that resonate with individuality and creativity. Identifying the unmet need for tailored AI solutions in the diverse landscape of e-commerce, the study is inspired to develop, innovate, and evaluate novel approaches for image syn thesis. The motivation stems from the challenges faced by sellers in balancing standard ization with personalization, and the aspiration to contribute both to the practical realm of online retail and to academic research. The objectives encapsulate the development of a groundbreaking approach, innovation upon existing models, and rigorous evaluation through empirical experimentation in Human-Computer Interaction (HCI). The study aspires to empower sellers with creative tools, envisioning a future where imagination and innovation are at the forefront of e commerce. In essence, this research is a harmonious blend of motivation and inspiration, aiming to contribute significantly to the renaissance of artistic exploration in e-commerce and to provide valuable insights and advancements in the application of AI technologies in the digital retail landscape. |
| Year | 2023 |
| Type | Project |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Professional Master in Data Science and Artificial Intelligence Applications (PMDS) |
| Chairperson(s) | Cherdsak Kingkan (Co-Chairperson);Chutiporn Anutariya (Co-Chairperson) |
| Examination Committee(s) | Vatcharaporn Esichaikul;Chantri Polprasert |
| Scholarship Donor(s) | AIT Scholarships |
| Degree | Professional Master in Data Science and Artificial Intelligence Applications - Asian Institute of Technology, 2023 |