Automatic Clustering Methods of Offers in an E-Commerce Marketplace-Reference-Cited by-同舟云学术

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Automatic Clustering Methods of Offers in an E-Commerce Marketplace

Published:2016 Issue: Volume: Page:147-160
ISSN:2197-6503
Container-title:Studies in Big Data
language:
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Author:

Wroblewska Anna,Twardowski Bartlomiej,Zawistowski Pawel,Ryżko Dominik

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-30315-4_13

Reference18 articles.

1. Agrawal, R., Phatak, M.: A novel algorithm for automatic document clustering. In: IEEE 3rd International Advance Computing Conference (IACC), pp. 877–882 (2013)

2. Chen, Y., Canny, J.F.: Recommending ephemeral items at web scale. SIGIR (2011)

3. Das, A., Datar, M., Garg, A.: Google news personalization: scalable online collaborative filtering. WWW (2007)

4. Hubert, L., Arabie, P.: Comparing partitions. J. Classif. 2(1), 193–218 (1985)

5. Halkidi, M., Batistakis, Y., Vazirgiannis, M.: On clustering validation techniques. J. Intell. Inf. Syst. 17, 107–145 (2001)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clustering and e-Commerce: Towards a Crossroads in a Particular Context;2021 The 5th International Conference on E-Commerce, E-Business and E-Government;2021-04-28

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