期刊
PROGRAM-ELECTRONIC LIBRARY AND INFORMATION SYSTEMS
卷 41, 期 1, 页码 71-80出版社
EMERALD GROUP PUBLISHING LIMITED
DOI: 10.1108/00330330710724908
关键词
search engines; information retrieval; precision
Purpose - To describe a small-scale quantitative evaluation of the scholarly information search engine, Google Scholar. Design/methodology/approach - Google Scholar's ability to retrieve scholarly information was compared to that of three popular search engines: Ask.com, Google and Yahoo! Test queries were presented to all four search engines and the following measures were used to compare them: precision; Vaughan's Quality of Result Ranking; relative recall; and Vaughan's Ability to Retrieve Top Ranked Pages. Findings - Significant differences were found in the ability to retrieve top ranked pages between Ask.com and Google and between Ask.com and Google Scholar for scientific queries. No other significant differences were found between the search engines. This may be due to the relatively small sample size of eight queries. Results suggest that, for scientific queries, Google Scholar has the highest precision, relative recall and Ability to Retrieve Top Ranked Pages. However, it achieved the lowest score for these three measures for non-scientific queries. The best overall score for all four measures was achieved by Google. Vaughan's Quality of Result Ranking found a significant correlation between Google and scientific queries. Research limitations/implications - As with any search engine evaluation, the results pertain only to performance at the time of the study and must be considered in light of any subsequent changes in the search engine's configuration or functioning. Also, the relatively small sample size limits the scope of the study's findings. Practical implications - These results suggest that, although Google Scholar may prove useful to those in scientific disciplines, further development is necessary if it is to be useful to the scholarly community in general. Originality/value - This is a preliminary study in applying the accepted performance measures of precision and recall to Google Scholar. It provides information specialists and users with an objective evaluation of Google Scholar's abilities across both scientific and non-scientific disciplines and paves the way for a larger study.
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