Lin, J.; DiCuccio, M.; Grigoryan, V.; Wilbur, W.J.: Navigating information spaces : a case study of related article search in PubMed (2008)
0.01
0.006587576 = product of:
0.019762728 = sum of:
0.019762728 = product of:
0.05928818 = sum of:
0.05928818 = weight(_text_:network in 2124) [ClassicSimilarity], result of:
0.05928818 = score(doc=2124,freq=2.0), product of:
0.20082727 = queryWeight, product of:
4.4533744 = idf(docFreq=1398, maxDocs=44218)
0.04509553 = queryNorm
0.29521978 = fieldWeight in 2124, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4533744 = idf(docFreq=1398, maxDocs=44218)
0.046875 = fieldNorm(doc=2124)
0.33333334 = coord(1/3)
0.33333334 = coord(1/3)
- Abstract
- The concept of an "information space" provides a powerful metaphor for guiding the design of interactive retrieval systems. We present a case study of related article search, a browsing tool designed to help users navigate the information space defined by results of the PubMed® search engine. This feature leverages content-similarity links that tie MEDLINE® citations together in a vast document network. We examine the effectiveness of related article search from two perspectives: a topological analysis of networks generated from information needs represented in the TREC 2005 genomics track and a query log analysis of real PubMed users. Together, data suggest that related article search is a useful feature and that browsing related articles has become an integral part of how users interact with PubMed.