جستجوی مقالات مرتبط با کلیدواژه « موتور جستجو » 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.

To explore, analyze, validate the merits of the SEO Entrepreneurship Questionnaire for Knowledge and Information Science professionals.

The sample size estimation and control for this survey were determined using Morgan table and simple random probability sampling. Based on the first extracted competencies of entrepreneurship in the field of SEO as a content analysis construct, a researcher-made questionnaire was developed using a web-based questionnaire. Face validity of the questionnaire was confirmed by experts in the field. The reliability of the questionnaire was confirmed by Cronbach's alpha test.

The results showed that the six categories include "basic IT skills", "regular or organic SEO", "external site SEO", "paid SEO or click", "website design and management tools" and "value added of Knowledge and Information Science in SEO field" were the main influencing variables for evaluating SEO entrepreneurship competencies for Knowledge and Information Science graduates.

Findings can be used to study, analyze and revise Knowledge and Information science topics in search engine optimization.

In the current situation of employment in the field of Knowledge and Information science (KIS), it is essential to carry out researches that provide a groundwork for entrepreneurship and employment. The main goal of this study is to conduct a qualitative content analysis of the new syllabus of KIS in order to identify entrepreneurship competencies in the field of Search Engine Optimization (SEO) and the degree of compliance of the syllabus with it.

The present study is an applied research based on a qualitative content analysis method. The research population included ads for the SEO field and the latest approved syllabuses of the undergraduate and masterdegrees in the KIS.

The main entrepreneurial competencies of SEO in the form of Content Analysis Structures were developed in five general categories and 39 items. The analysis of the syllabuses showed that there was 66% of the SEO competencies in the KIS’s syllabuses.

The results showed that the main drawbacks of the KIS’s syllabus in web topics are site optimization for search engines (SEO) as well as entrepreneurship, and reviewing and updating the syllabus is essential in this regard.

An important mission of any information system is to provide the best service tailored to the needs of users. This increases users'' satisfaction and interest in using information systems. Nowadays, search engines are one of the most important tools in the recovery of pets and provide a variety of pets for many users. Students, university professors, and tutors pay for search engines on a daily basis and meet their basic needs. Treasure Database (Iranian Scientific Treasury) The Iranian Institute of Information Science and Technology, with 870,000 scientific records, enables researchers to search for dissertations, internal scientific journals, articles, conferences, research projects and government reports. It is obvious that users are influenced by different ways to obtain information and exhibit different information-seeking behaviors. The main purpose of this study is to analyze the information search behavior of users in the search engine of the treasure system. Analyzing users'' search behavior can help them better understand their needs. The results of the analysis indicate that the attendance rate is very low compared to the non-attendance time and the attendance hours vary among researchers in the humanities and engineering. The results of this analysis can also help to evaluate and resolve existing search engine retrieval issues.

aim: this study is Comparative the performance of search engines and meta search engines in retrieval of information.

. In order to collect the data, five keywords in various fields of information science and universology were selected and five meta-search engines were investigated. Meta-search engines which were investigated in this study include: Meta crawler, web crawler, Info, Info Space and dog pile. Three search engines joint were also covered which are Google, Yahoo and Bing. the first ten retrieved results of each engine were examined. The performance of ranking results in meta search engines from the viewpoint of users were investigated by using technical method. Furthermore, the performance of ranking results in search engines from the viewpoint of users was evaluated.

The research results indicate that among the meta search engines, Info has the best performance in ranking results and evaluating with technical method. Also, Google search engines has the best performance in ranking results among the studied search engines, there is a significant difference in search engines and meta search engines in performance of ranking. But from the perspective of users, there is not a significant difference among ranking performance of results in the meta search engines. Moreover, there is not a significant difference among the studied search engines in performance of ranking results. From the viewpoint of users, performance of ranking was conducted better in search engines than in meta search engines, in a way that performance of ranking in meta search engines was at a weak level.

The purpose of the present study is to investigate the image search and retrieval problems in selected search engines in relation to the Persian writing style challenges.
This study is an applied one. In orderto answer the questions an evaluative method and direct observation were used. The aim of the research is to explore the morphological and semantic problems of Persian language in connection with the image search and retrieval among the three major and widespread search engines: Google, Yahoo, and Bing. These search engines can also support Persian language. In order to collect data, a checklist designed by the researcher was used and then the data were analyzed by descriptive and inferential statistics.
Findings: TheResults indicated that Google, Yahoo, and Bing search engines do not pay enough attention to the morphological and semantic features of Persian language during image search and retrieval. This research reveals that seven groups of Persian language features are the major problems in this area. In addition, the results suggested that Google is the best search engine of all in terms of its compatibility with Persian language features.

The present investigation concerns evaluation, comparison and analysis of search options existing within web-based meta-search engines. 64 meta-search engines were identified. 19 meta-search engines that were free, accessible and compatible with the objectives of the present study were selected. An author’s constructed check list was used for data collection. Findings indicated that all meta-search engines studied used the AND operator, phrase search, number of results displayed setting, previous search query storage and help tutorials. Nevertheless, none of them demonstrated any search options for hypertext searching and displaying the size of the pages searched. 94.7% support features such as truncation, keywords in title and URL search and text summary display. The checklist used in the study could serve as a model for investigating search options in search engines, digital libraries and other internet search tools.

In this paper we briefly explore the challenges to expand information retrieval (IR) on the web, in particular other types of data, web mining and issues related to crawling. We also mention the main relations of IR and soft computing and how these techniques address these challenges.