An Effective Complete-Web Recommender System

  title={An Effective Complete-Web Recommender System},
  author={Tingshao Zhu and Russell Greiner and Gerald H{\"a}ubl},
There are a number of recommendation systems that can suggest the webpages, within a single website, that other (purportedly similar) users have visited. By contrast, our goal is a system that can recommend “information content” (IC) pages — i.e., pages that containinformation relevant to the user — from anywhere in the web. This paper describes how we addressed this challenge, We first collected a number of annotated user sessions, whose pages each include a bit indicating whether it was IC… CONTINUE READING
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