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Beyond Keyword Search: Discovering Relevant Scientific Literature (2011)

By: Khalid El-Arini and Carlos Guestrin

Abstract: In scientific research, it is often difficult to express information needs as simple keyword queries. We present a more natural way of searching for relevant scientific literature. Rather than a string of keywords, we define a query as a small set of papers deemed relevant to the research task at hand. By optimizing an objective function based on a fine-grained notion of influence between documents, our approach efficiently selects a set of highly relevant articles. Moreover, as scientists trust some authors more than others, results are personalized to individual preferences. In a user study, researchers found the papers recommended by our method to be more useful, trustworthy and diverse than those selected by popular alternatives, such as Google Scholar and a state-of-the-art topic modeling approach.

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Khalid El-Arini and Carlos Guestrin (2011). "Beyond Keyword Search: Discovering Relevant Scientific Literature." ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). pdf long talk      
BibTeX citation

@inproceedings{El-Arini+Guestrin:kdd11bks,
title = {Beyond Keyword Search: Discovering Relevant Scientific Literature},
author = {Khalid El-Arini and Carlos Guestrin},
booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
month = {August},
year = {2011},
address = {San Diego, California},
wwwfilebase = {kdd2011-elarini-guestrin},
wwwtopic = {Information Retrieval}
}



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