Accession Number:

ADA556718

Title:

Beyond Keyword Search: Discovering Relevant Scientific Literature

Descriptive Note:

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA MACHINE LEARNING DEPT

Personal Author(s):

Report Date:

2011-06-01

Pagination or Media Count:

36.0

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.

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE