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A provable algorithmic approach to product selection problems for market entry and sustainability
2014
Proceedings of the 26th International Conference on Scientific and Statistical Database Management - SSDBM '14
Given the globalized economy, how to process the heterogeneous web data so to extract customers' purchase behavior is crucial to manufacturers who want to enter or sustain in a competitive market. To maximize the sales, manufacturers not only need to decide what products to produce so to meet diverse customers' requirements, but at the same time, compete with competitors' products. In this paper, we present a general framework for the following product selection problems: (1) k-BSP problem,
doi:10.1145/2618243.2618250
dblp:conf/ssdbm/XuLXL14
fatcat:htqawpuv7fh6bkea6djwlagnaq