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.
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Kodali, S., Dabbiru, M., Rao, B.T. (2020). A Q-Learning Approach for Sales Prediction in Heterogeneous Information Networks. In: Das, A., Nayak, J., Naik, B., Pati, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 999. Springer, Singapore. https://doi.org/10.1007/978-981-13-9042-5_72
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DOI: https://doi.org/10.1007/978-981-13-9042-5_72
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