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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Personalised e-Commerce Assistant |
| Authors Name: | Tom Shaju , Arpan Dixit , Ritam Basu |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_208142
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| Published Paper Id: | IJNRD2311126 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| Abstract: | Shopping needs can be expressed intuitively by users thanks to PEA's deep learning architecture, which is trained using extensive customer data and product information. Enhancing customer satisfaction, PEA employs collaborative filtering and content-based recommendation algorithms to precisely align each product suggestion with a user's unique tastes and preferences. In order to enhance the shopping experience, PEA continuously adapts and evolves using a learning mechanism that reflects the changing preferences of users. Maintaining customer trust in the platform, PEA uses cutting-edge encryption and anonymization techniques to safeguard user information, thus ensuring data privacy. The proposed system consists of two primary components: a natural language processing (NLP) module powered by GPT and a recommendation engine based on collaborative filtering. The NLP module enables seamless and intuitive interactions between users and the e-commerce platform. Users can ask questions, seek product advice, or provide preferences in natural language, and GPT interprets and responds to their queries intelligently. |
| Keywords: | Machine Learning; E-Commerce; Personalised; Collaborative Filtering;GPT |
| Cite Article: | "Personalised e-Commerce Assistant", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b211-b216, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311126.pdf |
| Downloads: | 000118755 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2311126 Registration ID: 208142 Published In: Volume 8 Issue 11, November-2023 DOI (Digital Object Identifier): Page No: b211-b216 Country: Chennai, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311126 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311126 |
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