A Q-Learning Approach for Sales Prediction in Heterogeneous Information Networks

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In today’s world, recommenders have grabbed a major importance to improve the sales where this paper provides the use of machine learning approach which involves machine learning technique like Q-learning that has an evident prediction on improving the sales. The logical network that can be formed for the mobiles and sales can be treated as a heterogeneous information network and traversing this semantic network gives meaningful meta-paths. The reinforcement learning technique, Q-Learning, is applied to predict the sales of a product.

Cite

CITATION STYLE

APA

Kodali, S., Dabbiru, M., & Rao, B. T. (2020). A Q-Learning Approach for Sales Prediction in Heterogeneous Information Networks. In Advances in Intelligent Systems and Computing (Vol. 999, pp. 843–851). Springer. https://doi.org/10.1007/978-981-13-9042-5_72

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free