Upgrading Products based on Existing Dominant Competitors

dc.contributor.author Wijayanto, Heri
dc.contributor.author Thamrin, Syauki
dc.contributor.author Chen, Arbee L.P.
dc.date.accessioned 2020-12-24T19:20:21Z
dc.date.available 2020-12-24T19:20:21Z
dc.date.issued 2021-01-05
dc.description.abstract In the Industry 4.0 era, manufacturers compete to produce better products that are expected to satisfy a larger number of customers. We propose a recommendation system for upgrading products considering user preferences. This approach is based on the dominating regions of dominant competitors. The dominating region represents the estimation of the number of potential customers. However, examining overlapped dominating regions for a high dimensional space is NP-hard. We propose a novel method named TDRDFS which constructs a Dominant Graph of Intersection skyline points (DGI) for modeling the dominating regions. Our experiments show that TDRDFS significantly reduces computation. Based on our approach, product vendors are able to determine the strategy of upgrading products easily.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.211
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/70823
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Service Analytics
dc.subject dominance relationship analysis
dc.subject dominant graph
dc.subject product recommendation system
dc.subject skyline queries
dc.title Upgrading Products based on Existing Dominant Competitors
prism.startingpage 1738
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