Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages

@inproceedings{Agrawal2013MultilabelLW,
  title={Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages},
  author={Rahul Agrawal and Archit Gupta and Yashoteja Prabhu and Manik Varma},
  booktitle={WWW},
  year={2013}
}
Recommending phrases from web pages for advertisers to bid on against search engine queries is an important research problem with direct commercial impact. Most approaches have found it infeasible to determine the relevance of all possible queries to a given ad landing page and have focussed on making recommendations from a small set of phrases extracted (and expanded) from the page using NLP and ranking based techniques. In this paper, we eschew this paradigm, and demonstrate that it is… CONTINUE READING
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