جستجوی مقالات مرتبط با کلیدواژه "precision" در نشریات گروه "کتابداری و مدیریت اطلاعات"

Today, with the spread of the web, the use of successful recovery tools from this huge data platform has become very important. Accordingly, the purpose of this study is to compare the current performance and overlap of Google, Yahoo, and Bing search engines in data retrieval compared to 1398.

The present study is an applied and semi-experimental research. The statistical population includes all active search engines on the web and the samples were selected through purposive sampling. The data collection tool is created researcher checklist.

Findings from the present study showed that the accuracy of search engines Google, Yahoo, and Bank in three types of query, keyword and phrase search compared to the results of the study conducted in the research of Abbasi Dashtaki & Ghasemi Alvari in 1398 increased has found. In addition, Google's search engine is still more accurate than Yahoo and Bing search engines. Google has been more careful in query searching, Yahoo and Bing in phrase search than the other two types of search. Earlier in 1398, Google in keyword search, Yahoo in keyword and phrase search, and Bing in keyword search had higher accuracy. The study of the degree of overlap between them also showed that the overlap between these search engines has decreased compared to 1398 and have shown more unique results in the current study.

The search engines studied have shown better performance compared to 1398 and have become more powerful in three types of search queries, phrases and keywords. Google's search engine uses a structured data generator, algorithms such as Hummingbird, Penguin, Panda, etc., using rich results, knowledge graphs, personalized user interface, and other features that make it a powerful search engine. seems this search engine today the first option of most users in the web world to search and retrieve information. The overlap of the studied search engines has decreased compared to 1398.  It seems that the reptiles of these tools have examined more unique pages, and this could indicate the distinction and capabilities of the new algorithms used in these reptiles of each of these tools.

Relevance is one of the concepts that many researchers consider it fundamental in information retrieval. Recently, relevance has also been given attention in Iran about which multiple studies have been conducted. However, there is no clear understanding of relevance-related studies in Iran. Therefore, the current research aimed at exploring related research through a systematic review. To find the publications, questions and inclusion/exclusion criteria were initially determined. Several databases were searched using related keywords. Finally, 108 publications were selected. The software Excel was used to extract and analyze the data gathered. Publications in the field of relevance could be classified into 6 groups including recall, precision, recall and precision, relevance feedback, relevance judgment, and review resources. The results showed that most of the studies are conducted in an objective way and the researchers considered search engines more than other information retrieval systems. Moreover, the results also indicate that the recent studies are related to relevance judgment and experts in Knowledge and Information Science have been unwilling to do research on relevance feedback. While the quantitative methodology is used more frequently, the qualitative approach could also be very effective, especially in the subjective relevance and user-friendly context.

The purpose of this study was to determine correlation philosophic mindedness on precision of user’s information: retrieval from scientific information databases.

Research method was quasi experimental, and the population consisted of 42 scientific researchers from different disciplines that selected based on purposeful sampling in Tehran. The data gathering instrument was the Mirsepasi and Soltani’s philosophic mindedness questionnaire that has 60 items. Soltani questionnaire measures four compounds of philosophic mindedness in 4 degrees Likert scale. Cronbach’s alpha for philosophic mindedness was 0.91 two pages of the retrieved results (80 records) were examined by the users in terms of relevance to their real information needs.

research Finding showed a significant correlation between the mean values of the philosophic mindedness of the users and the precision of the retrieved results. 50% of users have high and good level of philosophic mindedness and only 11% of users have law level of philosophic mindedness. There was significant relation between demographic characteristics of gender, age and employment status, degree and job with philosophic mindedness of the users and precision of the retrieved results.

the results of testing hypotheses showed that user’s philosophic mindedness, increases the precision of the retrieved results from scientific databases

Compares the performance of fuzzy and non-fuzzy search engines and measures the overlap among them.

Search engines included were selected by accidental classified and purposeful sampling. Data was gathered using three lists based on a subject headings list, carried out in three formats including search questions, phrases, and keywords search.

Meta Crawler, Bing, and Emerald showed the highest rate of precision among the non-fuzzy search engines respectively, while Google, Yahoo and ASK obtained the showed the highest level of precision among the fuzzy ones respectively. With regard to keyword searching, Bing and Meta Crawler showed the highest level of overlap, while Yahoo and Meta Crawler had the highest level of overlap in question searching. With regards to phrase searching, the most overlap was between Yahoo and Meta Crawler. Emerald results were had no overlap with the other five search engines in the three types of queries. This could be seen as its poor performance.

Overall performance of fuzzy search engines was better. Except for Emerald, other search engines showed considerable levels of overlap.

Relative generality and precision are two important criteria for measuring the efficiency and performance of information retrieval systems. The aim of this study was to compare the integrity and location of evidence-based bases in the digital library of Hamedan University of Medical Sciences in data retrieval of diabetes.   

The design of this research is cross-sectional, survey, descriptive and is an applied type. Preparing a list on clinical questions here was done as referring to the Diabetes Center in Semirom for 5 months. The following keywords were searched on databases: Up To Date, Clinical Key, Embase, Cochrane, Ovid, and PubMed Tool. The data were analyzed using the descriptive and inferential statistics in terms of tables, diagrams, chi-square test.

The findings showed that both Ovid and Clinical Key databases recovered more relevant documents in contrast to other databases Based on the most relevant documents. According to the relevant and relatively relevant documents, Clinical Key, Embase, Ovid and Up To Date databases had the highest recall in contrast to the PubMed and Cochrane databases which possessed the lowest recall. According to the most relevant documents, the Ovid Database has the highest precision while the PubMed Database had the lowest precision. Among the databases, up to date had retrieved the relevant documents.

Ovid possesses more recall and precision among the databases analyzed, but evidence-based resources are generally well-suited to clinical questions in the field of diabetes