Predict the Relevance of Search Result From E-commerce Sites

Mukul Singhal; Dikshant Awasthi; Parshvi Verma; Sumit Kumar Malik

Predict the Relevance of Search Result From E-commerce Sites

Authors: Mukul Singhal, Dikshant Awasthi, Parshvi Verma, Sumit Kumar Malik

Unique Paper ID: 151624
Volume: 8
Issue: 1
PageNo: 422-424

Keywords: E-commerce Online Shopping Products Query-Based Search Search Engines

Abstract:
In today era Ecommerce is very essential for all of us. Large Ecommerce Sites such as amazon, flipkart etc plays an important role like we want to purchase a product from amazon then we can search a product that we want to buy. So search engines plays an important role in ecommerce sites so that customer can see their products easily. In this review paper we can give a robust way of predicting scores given a search query and a products using different techniques like machine learning algorithms, deep learning algorithms and natural language processing and information retrieval.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 422-424

Predict the Relevance of Search Result From E-commerce Sites

Available:https://ijirt.org/Article?manuscript=151624

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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