Abstract
The increasing number of services/offers in telecom domain offers more choices to the consumers. But on the other side, these large number of offers cannot be completely looked by the customer. Hence, some offers may pass unobserved even if they are useful for the particular kind of customers. To solve this issue, the usage of recommender systems in telecom sector is growing. So, there is need to notify the customer about the offers which are made on the basis of customer interests. The recommender system is based on demand or interest of consumer. In this paper we proposed a Big Data Analytics based Recommender System for Value Added Services (VAS) in case of telecom organizations so that they could gain profitability in the market by generating customer specific offers.
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Singh, I., Singh, K.V., Singh, S. (2017). Big Data Analytics Based Recommender System for Value Added Services (VAS). In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 547. Springer, Singapore. https://doi.org/10.1007/978-981-10-3325-4_14
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DOI: https://doi.org/10.1007/978-981-10-3325-4_14
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