• C.Vineeth Kumar
• K.Satish Kumar
• K.Kavya
• B.M.Lakshmipathi
• Dr.D.Sumathi

Recently, online shopping marketplaces usually hold some price promotion campaigns to attract customers and increase their purchase intention. E-com web site provides best time consumption and efficient results. Considering the requirements of customers in this practical application scenario, we are concerned about product selection under price promotion. To make the machines to understand the data by using the semantic web, it is used in the connection of information as used to link the data from one source to another meanwhile it also makes the system to understand the data[10]. We formulate a Constrained Optimal Product Combination (COPC) problem. It aims to find out the Product discounts product combinations which both meet a customer's willingness to pay and bring the maximum discount rate. The COPC problem is significant to offer powerful decision support for we first reviewed a Two List Exact (TLE) algorithm. The COPC problem is proven to be NP-hard, and the TLE algorithm is not scalable because it needs to process an exponential number of product combinations. Additionally, we design a Lower Bound Approximate (LBA) algorithm that has the guarantee about the accuracy of the results and an Incremental Greedy (IG) algorithm that has good performance. The experiment results demonstrate the efficiency and effectiveness of our proposed algorithms .customers under price promotion, which is certified by a customer study. To process the COPC problem effectively.

Semantic Web, Online marketing, Constrained Optimal Product Algorithm, Two List Exact algorithm, Incremental Greedy algorithm

"MANAGING PRODUCT-DISCOUNTS USING LOWER BOUND APPROXIMATION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.225-232, June-2019, Available :http://www.jetir.org/papers/JETIR1906179.pdf

"MANAGING PRODUCT-DISCOUNTS USING LOWER BOUND APPROXIMATION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp225-232, June-2019, Available at : http://www.jetir.org/papers/JETIR1906179.pdf