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@article{151624,
        author = {Mukul Singhal and Dikshant Awasthi and Parshvi Verma and Sumit Kumar Malik},
        title = {Predict the Relevance of Search Result From E-commerce Sites},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {422-424},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151624},
        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.},
        keywords = {E-commerce, Online Shopping, Products, Query-Based Search, Search Engines},
        month = {},
        }