2011 BeyondKeywordSearchDiscoveringR

• (El-Arini & Guestrin, 2011) ⇒ Khalid El-Arini, and Carlos Guestrin. (2011). “Beyond Keyword Search: Discovering Relevant Scientific Literature.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011) Journal. ISBN:978-1-4503-0813-7 doi:10.1145/2020408.2020479

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222011%22+Beyond+Keyword+Search%3A+Discovering+Relevant+Scientific+Literature
• http://dl.acm.org/citation.cfm?id=2020408.2020479&preflayout=flat#citedby

Quotes

Author Keywords

• Algorithms; citation analysis; experimentation; personalization; query formulation; relevance feedback; retrieval models

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 BeyondKeywordSearchDiscoveringR	Khalid El-Arini Carlos Guestrin			Beyond Keyword Search: Discovering Relevant Scientific Literature				10.1145/2020408.2020479		2011