Corpus ID: 12139232

Generation For Embedded Information Retrieval

@inproceedings{Kulyukin2001GenerationFE,
  title={Generation For Embedded Information Retrieval},
  author={Vladimir A. Kulyukin},
  year={2001}
}
The integration of query generation and user feedback continues to challenge information retrieval technologies. Relevance feedback, while useful to professionals, is frequently inappropriate for lay users, because the initial query generation is manual and the subsequent feedback solicitation is intrusive or inconsistent with many lay users’ information needs. To provide lay users with automated query generation and nonintrusive feedback solicitation, the concept of a personal information… Expand

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