Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

Recommendation Engine in E-Commerce

Author : Shrinivas S Hegde 1 Soumya Lakshmi G 2 Vellaki Kiran Kumar 3 Neelu L 4 Pramodchakravarthy Patil 5

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Date of Publication :14th April 2017

Abstract: Recommender systems areimportant for businesses because they can help companies offer product recommendations to customers. There are many acknowledged consumer-oriented recommender systems, particularly in e-commerce. A client-product matrix is built which matches company clients to internal company products. Pairing of clients and products is based on coclustering principles and reveals potential future purchases. Compared to other consumer-oriented recommendation systems, this approach takes into account the need for interpretability. The recipient of the generated recommendations are sales and marketing teams; hence, a detailed reasoning will be done in straightforward English that considers multiple aspects regarding why a client may be a suitable match for the particular offering.

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