An Intelligent Tool for All-to-All Sales on the Internet - Platform for Compilation of Commercial Offers and Requests for Companies and Customers
Radoslav Fasuga, Pavel Stoklasa, Martin Němec
2015
Abstract
This paper deals with the issues of building an intelligent sales portal. The portal features include a price comparator, entering of individual offerings and requests for concrete and specific products and services. Product offers can be entered by choosing from predefined product options and specifications, or as new specifications. The paper describes matching of sales for new products, services and used goods. The design philosophy combines the features of product aggregators, advertising and second-hand sale systems and auctions with so-called fair direct offers in both public and anonymous offer and request proceedings. The implementation is designed for both companies presenting their products, services and requests, and ordinary customers and their individual offers and requests. The core system component is the intelligent search and offer/request matching process. The identical product-to-product matching model and searching based on product similarity is described. A model ideal product and most similar offer can be defined. The paper includes a discussion of the issue of working with a large quantity of highly structured data, their pre-processing and effective visualisation. The conclusion outlines the project ambitions in the area of building a European offer and request platform among business and customer clients.
References
- Ayanso, A., Karimi, A. 2015, The moderating effects of keyword competition on the determinants of ad position in sponsored search advertising, Decision Support Systems, vol. 70, pp. 42-59.
- Bauner, C. 2015, Mechanism choice and the buy-it-now auction: A structural model of competing buyers and sellers, International Journal of Industrial Organization, vol. 38, pp. 19-31.
- Cai, Y., Mahdian, M., Mehta, A., Waggoner, B. 2013, Designing markets for daily deals.
- Fasuga, R., Drabek, T., Toporkova, G., Holub, L. 2010, Expert system for data identification in auction system along with market trends analysis, Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010, pp. 36.
- Fasuga, R., Toporkova, G., Paluch, M. 2011, Advanced market trends analysis in electronic auction systems, Proceedings - UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011, pp. 231.
- Kannan, A., Talukdar, P.P., Rasiwasia, N., Ke, Q. 2011, Improving product classification using images, Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 310.
- Kolaczkowski, P.,Gawrysiak, P. 2011, Extracting product descriptions from polish e-commerce websites using classification and clustering.
- Kotha, S., Basu, S. 2011, Amazon and eBay: Online Retailers as Market Makers.
- Lahaie, S. 2006, An analysis of alternative slot auction designs for sponsored search, Proceedings of the ACM Conference on Electronic Commerce, pp. 218.
- Nguyen, H., Fuxman, A., Paparizos, S., Freire, J., Agrawal, R. 2011, Synthesizing products for online catalogs, Proceedings of the VLDB Endowment, vol. 4, no. 7, pp. 409-418.
- Ong, B. S. 2011, Online shoppers' perceptions and use of comparison-shopping sites: An exploratory study, Journal of Promotion Management, vol. 17, no. 2, pp. 207-227.
- Overby, E., Forman, C. 2015, The effect of electronic commerce on geographic purchasing patterns and price dispersion, Management Science, vol. 61, no. 2, pp. 431-453.
- Pham, L., Teich, J., Wallenius, H., Wallenius, J. 2015, Multi-attribute online reverse auctions: Recent research trends, European Journal of Operational Research, vol. 242, no. 1, pp. 1-9. Aggarwal, G., Goel, A. & Motwani, R. 2006, "Truthful auctions for pricing search keywords", Proceedings of the ACM Conference on Electronic Commerce, pp. 1.
- Wang, C., Zhang, P. 2012, The evolution of social commerce: The people, management, technology, and information dimensions, Communications of the Association for Information Systems, vol. 31, no. 1, pp. 105-127.
- Zou, P. J., Cheng, Y., Xu, Y. Y., Fang, Z. 2014, Boost keywords conversion of search engine.
Paper Citation
in Harvard Style
Fasuga R., Stoklasa P. and Němec M. (2015). An Intelligent Tool for All-to-All Sales on the Internet - Platform for Compilation of Commercial Offers and Requests for Companies and Customers . In Proceedings of the 12th International Conference on e-Business - Volume 1: ICE-B, (ICETE 2015) ISBN 978-989-758-113-7, pages 263-270. DOI: 10.5220/0005536202630270
in Bibtex Style
@conference{ice-b15,
author={Radoslav Fasuga and Pavel Stoklasa and Martin Němec},
title={An Intelligent Tool for All-to-All Sales on the Internet - Platform for Compilation of Commercial Offers and Requests for Companies and Customers},
booktitle={Proceedings of the 12th International Conference on e-Business - Volume 1: ICE-B, (ICETE 2015)},
year={2015},
pages={263-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005536202630270},
isbn={978-989-758-113-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 12th International Conference on e-Business - Volume 1: ICE-B, (ICETE 2015)
TI - An Intelligent Tool for All-to-All Sales on the Internet - Platform for Compilation of Commercial Offers and Requests for Companies and Customers
SN - 978-989-758-113-7
AU - Fasuga R.
AU - Stoklasa P.
AU - Němec M.
PY - 2015
SP - 263
EP - 270
DO - 10.5220/0005536202630270