Empowering Retail Dual Transformer-Based Profound Product Recommendation Using Multi-Model Review Article Swipe
Deema Mohammed Alsekait
,
Hanaa Fathi
,
Mohamed Taha
,
Ahmed Taha
,
Ayman Nabil
,
Asif Nawaz
,
Zohair Ahmed
,
Mohammad Alshinwan
,
Mohamed F. Issa
,
Diaa Salama AbdElminaam
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.4018/joeuc.358002
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.4018/joeuc.358002
Advancements in technology have significantly changed how we interact on social media platforms, where reviews and comments heavily influence consumer decisions. Traditionally, opinion mining has focused on textual data, overlooking the valuable insights present in customer-uploaded images—a concept we term Multus-Medium. This paper introduces a multimodal strategy for product recommendations that utilizes both text and image data. The proposed approach involves data collection, preprocessing, and sentiment analysis using Vti for images and SpanBERT for text reviews. These outputs are then fused to generate a final recommendation. The proposed model demonstrates superior performance, achieving 91.55% accuracy on the Amazon dataset and 90.89% on the Kaggle dataset. These compelling findings underscore the potential of our approach, offering a comprehensive and precise method for opinion mining in the era of social media-driven product reviews, ultimately aiding consumers in making informed purchasing decisions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4018/joeuc.358002
- https://www.igi-global.com/ViewTitle.aspx?TitleId=358002&isxn=9798369324530
- OA Status
- diamond
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403789920
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403789920Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.4018/joeuc.358002Digital Object Identifier
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Empowering Retail Dual Transformer-Based Profound Product Recommendation Using Multi-Model ReviewWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
- Publication date
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2024-10-26Full publication date if available
- Authors
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Deema Mohammed Alsekait, Hanaa Fathi, Mohamed Taha, Ahmed Taha, Ayman Nabil, Asif Nawaz, Zohair Ahmed, Mohammad Alshinwan, Mohamed F. Issa, Diaa Salama AbdElminaamList of authors in order
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https://doi.org/10.4018/joeuc.358002Publisher landing page
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https://www.igi-global.com/ViewTitle.aspx?TitleId=358002&isxn=9798369324530Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.igi-global.com/ViewTitle.aspx?TitleId=358002&isxn=9798369324530Direct OA link when available
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Computer science, Dual (grammatical number), Transformer, Product (mathematics), Electrical engineering, Mathematics, Engineering, Voltage, Art, Geometry, LiteratureTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| publication_date | 2024-10-26 |
| publication_year | 2024 |
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