Training at the postgraduate level for medical librarians: a review.     

M K Hanke  M J Benzer 《Bulletin of the Medical Library Association》1979,67(1):42-46

Postgraduate education for medical librarians is approachable from several perspectives, including internships, certificate programs, and continuing education programs. The diverse population of medical library personnel calls for a varied yet coordinated system of postgraduate education involving the Medical Library Association, regional medical libraries, library schools, and the National Library of Medical, in addition to active participation by all librarians in the health sciences field. Basic philosophies for each of the major types of programs are discussed and recommendations for future training of health sciences librarians are provided.  相似文献   

Brandon list     

Malamud J 《Bulletin of the Medical Library Association》1979,67(4):405

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The medical librarian's role as adjunct faculty member of a college within a health sciences center     

J C Callard 《Bulletin of the Medical Library Association》1979,67(4):399-400

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Lister Hill Library evaluates first-year use of the new Xerox color copier.     

J A Thompson  M R Kronenfeld 《Bulletin of the Medical Library Association》1979,67(4):400-401

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Annual meeting content and format a guest editorial     

Gilman NJ 《Bulletin of the Medical Library Association》1979,67(1):62-63

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The tribulations of the Free University of Berlin     

Jürgen Domes  Armin Paul Frank 《Minerva》1975,13(2):183-199

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QUESTIONS IN THE PHILOSOPHY OF MIND     

G. A. J. ROGERS 《Philosophical Books》1976,17(3):133-135

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Guest editorial     

Dominik Janzing  J?rn Müller-Quade 《Informatik - Forschung und Entwicklung》2006,8(4):1-2

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Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments     

Tuomo Korenius  Jorma Laurikkala  Martti Juhola  Kalervo Järvelin 《Information Retrieval》2006,9(1):33-53

Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering was applied to a sample (N = 5,000) that was reduced with principal components analysis. The dendrograms were heuristically cut to find an optimal partition, whose clusters were compared with each of the 30 queries to retrieve the best-matching cluster. The four-level relevance assessment was collapsed into a binary one by (A) considering all the relevant and (B) only the highly relevant documents relevant, respectively. Single linkage (SL) was the worst method. It created many tiny clusters, and, consequently, searches enabled with it had high precision and low recall. The complete linkage (CL), average linkage (AL), and Ward's methods (WM) returned reasonably-sized clusters typically of 18–32 documents. Their recall (A: 27–52%, B: 50–82%) and precision (A: 83–90%, B: 18–21%) was higher than and comparable to those of the SL clusters, respectively. The AL and WM clustering had 1–8% better effectiveness than nearest neighbor searching (NN), and SL and CL were 1–9% less efficient that NN. However, the differences were statistically insignificant. When evaluated with the liberal assessment A, the results suggest that the AL and WM clustering offer better retrieval ability than NN. Assessment B renders the AL and WM clustering better than NN, when recall is considered more important than precision. The results imply that collections in the highly inflectional and agglutinative languages, such as Finnish, may be clustered as the collections in English, provided that documents are appropriately preprocessed.  相似文献   

Can constrained relevance feedback and display strategies help users retrieve items on mobile devices?     

Vishwa Vinay  Ingemar J. Cox  Natasa Milic-Frayling  Ken Wood 《Information Retrieval》2006,9(4):435-453

Searching online information resources using mobile devices is affected by small screens which can display only a fraction of ranked search results. In this paper we investigate whether the search effort can be reduced by means of a simple user feedback: for a screenful of search results the user is encouraged to indicate a single most relevant document. In our approach we exploit the fact that, for small display sizes and limited user actions, we can construct a user decision tree representing all possible outcomes of the user interaction with the system. Examining the trees we can compute an upper limit on relevance feedback performance. In this study we consider three standard feedback algorithms: Rocchio, Robertson/Sparck-Jones (RSJ) and a Bayesian algorithm. We evaluate them in conjunction with two strategies for presenting search results: a document ranking that attempts to maximize information gain from the user’s choices and the top-D ranked documents. Experimental results indicate that for RSJ feedback which involves an explicit feature selection policy, the greedy top-D display is more appropriate. For the other two algorithms, the exploratory display that maximizes information gain produces better results. We conducted a user study to compare the performance of the relevance feedback methods with real users and compare the results with the findings from the tree analysis. This comparison between the simulations and real user behaviour indicates that the Bayesian algorithm, coupled with the sampled display, is the most effective. Extended version of “Evaluating Relevance Feedback Algorithms for Searching on Small Displays, ” Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Frayling, Ken Wood published in the proceedings of ECIR 2005, David E. Losada, Juan M. Fernández-Luna (Eds.), Springer 2005, ISBN 3-540-25295-9  相似文献