Hot item mining and summarization from multiple auction Web sites

@article{Wong2005HotIM,
  title={Hot item mining and summarization from multiple auction Web sites},
  author={Tak-Lam Wong and Wai Lam},
  journal={Fifth IEEE International Conference on Data Mining (ICDM'05)},
  year={2005},
  pages={4 pp.-}
}
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for bidding. We develop a two-phase framework which aims at mining and summarizing hot items from multiple auction Web sites to assist decision making. The objective of the first phase is to automatically extract the product features and product feature values of the items from the descriptions provided by the sellers. We… CONTINUE READING
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