E-commerce website with integrated recommendation system - Vijarania, Meenu;Gupta, Swati
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This abstract presents the development of an e-commerce web application using Django framework, incorporating the TF-IDF vectorization technique and cosine similarity for efficient search functionality. The web application aims to provide users with a seamless and intuitive shopping experience. The Django framework offers a robust and scalable platform for building web applications. It provides a high level of abstraction, allowing developers to focus on the application logic rather than low-level details. By utilizing Django, the e-commerce application benefits from features like URL routing,…mehr

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Produktbeschreibung
This abstract presents the development of an e-commerce web application using Django framework, incorporating the TF-IDF vectorization technique and cosine similarity for efficient search functionality. The web application aims to provide users with a seamless and intuitive shopping experience. The Django framework offers a robust and scalable platform for building web applications. It provides a high level of abstraction, allowing developers to focus on the application logic rather than low-level details. By utilizing Django, the e-commerce application benefits from features like URL routing, database management, and user authentication. For the search functionality, the application employs TF-IDF (Term Frequency-Inverse Document Frequency) vectorization technique. TF-IDF calculates the importance of a term in a document by considering its frequency within the document and its rarity in the overall corpus. This technique allows for efficient representation of textual data, enabling quick and accurate search results.
Autorenporträt
Dr Meenu Vijarania, Associate Professor, K R Mangalam University.Dr Swati Gupta, Associate Professor, K R Mangalam University.