Relevance criteria for e-commerce: a crowdsourcing-based experimental analysis

@inproceedings{Alonso2009RelevanceCF,
  title={Relevance criteria for e-commerce: a crowdsourcing-based experimental analysis},
  author={Omar Alonso and Stefano Mizzaro},
  booktitle={SIGIR},
  year={2009}
}
We discuss the concept of relevance criteria in the context of e-Commerce search. A vast body of research literature describes the beyond-topical criteria used to determine the relevance of the document to the need. We argue that in an e-Commerce scenario there are some differences, and novel and different criteria can be used to determine relevance. We experimentally validate this hypothesis by means of Amazon Mechanical Turk using a crowdsourcing approach. 
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