An Efficient Publish/Subscribe Index for ECommerce Databases

@article{Zhang2014AnEP,
  title={An Efficient Publish/Subscribe Index for ECommerce Databases},
  author={Dongxiang Zhang and Chee Yong Chan and Kian-Lee Tan},
  journal={PVLDB},
  year={2014},
  volume={7},
  pages={613-624}
}
Many of today’s publish/subscribe (pub/sub) systems have b een designed to cope with a large volumeof subscriptions and high event arrival rate ( velocity). However, in many novel applications (such as e-commerce), there is an increasing varietyof items, each with different attributes. This leads to a very high-dimens io al and sparse database that existing pub/sub systems can no longer support effectively. In this paper, we propose an efficient in-m emory index that is scalable to the volume… CONTINUE READING
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