Serving Comparative Shopping Links Non-invasively

  • Authors:
  • Renan G. Cattelan;Darko Kirovski;Deepak Vijaywargi

  • Affiliations:
  • -;-;-

  • Venue:
  • WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
  • Year:
  • 2009

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Abstract

We propose a simple, user-friendly tool which aims to offer comparative shopping to the consumer with minimal distraction. The key idea is to detect whether a specific Web-page is commercial, i.e., whether it sells an individual product or service. The detection is performed in real-time at the client with focus on exceptionally low false positives. For each commercial page, we identify the product name $P$ from its hypertext and send $P$ to a knowledge server which responds with a list $\mathbb{L}$ of URLs at which $P$ is sold in increasing order of pricing. The browser then presents $\mathbb{L}$ in an non-invasive fashion to the user, resulting in a simple and effective shopping experience. We present certain statistical properties of collected commercial Web-pages, introduce a novel classifier for Boolean spaces, and compare its performance to SVM-QP.