Mining E-Commerce Query Relations using Customer Interaction Networks-Reference-Cited by-同舟云学术

Mining E-Commerce Query Relations using Customer Interaction Networks

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
language:
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Author:

Adhikari Bijaya¹,Sondhi Parikshit²,Zhang Wenke²,Sharma Mohit²,Prakash B. Aditya¹

Affiliation:

1. Virginia Tech, Blacksburg, VA, USA

2. WalmartLabs, Sunnyvale, CA, USA

Funder

NEH

ORNL

Facebook

NSF

Publisher

ACM Press

Reference41 articles.

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2. Ricardo A Baeza-Yates, Carlos A Hurtado, Marcelo Mendoza, et al. 2004. Query Recommendation Using Query Logs in Search Engines.. In EDBT workshops, Vol. 3268. Springer, 588--596.

3. Michael J Barber. 2007. Modularity and community detection in bipartite networks. Physical Review E 76, 6 (2007), 066102.

4. Doug Beeferman and Adam Berger. 2000. Agglomerative clustering of a search engine query log. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 407--416.

5. Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre. 2008. Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment 2008, 10 (2008), P10008.

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