Introducing spatial context in comparative pricing and product search

  • Authors:
  • Maxwell Guimarães de Oliveira;André Luiz Firmino Alves;Daniel Farias Batista Leite;Júlio Henrique Rocha;José Amilton Moura Acioli Filho;Cláudio de Souza Baptista

  • Affiliations:
  • Information Systems Laboratory, UFCG, Campina Grande, Brazil;UEPB Information Systems Laboratory, UFCG, Campina Grande, Brazil;Information Systems Laboratory, UFCG, Campina Grande, Brazil;Information Systems Laboratory, UFCG, Campina Grande, Brazil;Information Systems Laboratory, UFCG, Campina Grande, Brazil;Information Systems Laboratory, UFCG, Campina Grande, Brazil

  • Venue:
  • Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
  • Year:
  • 2013

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Abstract

Price survey services assist consumers interested in purchasing a new product online. Nevertheless, even being efficient in consulting the suppliers and returning up-to-date information about price and availability of products, current services still provide trivial and incomplete information concerning the price dispersion and the price for the final consumer. Usually, only instant prices are provided. These prices change rapidly and do not include shipping costs, which are usually paid by the consumers. In this context, this work proposes an approach based on Big Data to introduce the spatial context supplier-consumer in comparative price surveys and also to store and present the price variation history of the products as a function of their spatial and temporal features. A case study is carried out in order to validate the proposal and to highlight the advantages of this approach for the users of such services.