Published March 30, 2024 | Version CC-BY-NC-ND 4.0
Journal article Open

Chatbot Based Online Shopping Web Application

Creators

  • 1. Asst.Professor Department of Data Science, Malla Reddy University, Hyderabad, India.

Contributors

Contact person:

  • 1. Asst.Professor Department of Data Science, Malla Reddy University, Hyderabad, India
  • 2. Asst.Professor, Department of CSE, GITAM University, Visakhapatnam, India.
  • 3. UG Student, Department of CSE, SR University, Hanumakonda, India
  • 4. UG Student, Department of CSE, SR University, Hanumakonda, India.

Description

Abstract: This study presents an innovative chatbot system aimed at transforming product recommendation and customization. It integrates feature-based input analysis and user-driven updates to provide tailored product recommendations. Users can input specific product features, leading to personalized suggestions that align precisely with their preferences. Utilizing a dynamic customization framework, the chatbot consistently refines recommendations based on user interests, ensuring a personalized and evolving user experience. The project seeks to reshape the realm of product recommendation systems by providing a seamless and adaptable interface, enhancing the exploration and acquisition of products that precisely match individual needs and preferences.

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Additional details

Identifiers

DOI
10.54105/ijdcn.B9782.03040623
EISSN
2582-760X

Dates

Accepted
2023-06-15
Manuscript received on 18 May 2023 | Revised Manuscript received on 12 June 2023 | Manuscript Accepted on 15 June 2023 | Manuscript published on 30 March 2024.

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