Predict the Relevance of Search Result From E-commerce Sites

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Predict the Relevance of Search Result From E-commerce Sites
Author(s):
Mukul Singhal, Dikshant Awasthi, Parshvi Verma, Sumit Kumar Malik
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.
Article Details
Unique Paper ID: 151624 Publication Volume & Issue: Volume 8, Issue 1 Page(s): 422 - 424
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