Artykuły w czasopismach na temat „Search engines”
Kliknij ten link, aby zobaczyć inne rodzaje publikacji na ten temat: Search engines.
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Search engines”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
1
Saraygord Afshari, Sajad, Bhargava Jonnadula, Xiangyang Xu, Xihui Liang i Zhaohui Yang. "Jet Engine Optimal Preventive Maintenance Scheduling Using Golden Section Search and Genetic Algorithm". Journal of Prognostics and Health Management 2, nr 1 (13.07.2022): 45–71. http://dx.doi.org/10.22215/jphm.v2i1.3321.
Pełny tekst źródłaStreszczenie:
Jet engines are critical assets in aircraft, and their availability is crucial in the modern aircraft industry. Therefore, their maintenance scheduling is one of the major tasks an airline has to make during an engine’s lifetime. A proper engine maintenance schedule can significantly reduce maintenance costs without compromising the aircraft's reliability and safety. Different maintenance scheduling approaches have been used for jet engines, such as corrective, preventive, and predictive maintenance strategies. Regarding the safety demands in aircraft industries, preventive maintenance is a frequent maintenance method for jet engines. However, preventive maintenance schedules are often use fixed maintenance intervals, which is usually suboptimal. This paper focuses on minimizing a jet engine's overall maintenance cost by optimizing its preventive maintenance schedule based on an engine’s comprehensive reliability model. A hierarchical optimization framework including the golden section search and genetic algorithms is applied to find the optimal set of preventive maintenance number and their times and the components to be replaced at those times during the jet engine's overall lifetime. The Monte Carlo simulation is used to estimate the engine’s failure times using their lifetime distributions from the reliability model. The estimated failure times are then used to determine the engine's overall corrective and preventive maintenance costs during its lifetime. Finally, an optimal preventive maintenance schedule is proposed for an RB 211 jet engine using the presented method. In the end, comparing the proposed method's overall maintenance cost with two other maintenance methods demonstrates the proposed schedule's effectiveness. The method presented in this paper is generic, and it can be used for other similar engineering systems.
2
Seymour, Tom, Dean Frantsvog i Satheesh Kumar. "History Of Search Engines". International Journal of Management & Information Systems (IJMIS) 15, nr 4 (12.09.2011): 47. http://dx.doi.org/10.19030/ijmis.v15i4.5799.
Pełny tekst źródłaStreszczenie:
As the number of sites on the Web increased in the mid-to-late 90s, search engines started appearing to help people find information quickly. Search engines developed business models to finance their services, such as pay per click programs offered by Open Text in 1996 and then Goto.com in 1998. Goto.com later changed its name to Overture in 2001, and was purchased by Yahoo! in 2003, and now offers paid search opportunities for advertisers through Yahoo! Search Marketing. Google also began to offer advertisements on search results pages in 2000 through the Google Ad Words program. By 2007, pay-per-click programs proved to be primary money-makers for search engines. In a market dominated by Google, in 2009 Yahoo! and Microsoft announced the intention to forge an alliance. The Yahoo! & Microsoft Search Alliance eventually received approval from regulators in the US and Europe in February 2010. Search engine optimization consultants expanded their offerings to help businesses learn about and use the advertising opportunities offered by search engines, and new agencies focusing primarily upon marketing and advertising through search engines emerged. The term "Search Engine Marketing" was proposed by Danny Sullivan in 2001 to cover the spectrum of activities involved in performing SEO, managing paid listings at the search engines, submitting sites to directories, and developing online marketing strategies for businesses, organizations, and individuals. Some of the latest theoretical advances include Search Engine Marketing Management (SEMM). SEMM relates to activities including SEO but focuses on return on investment (ROI) management instead of relevant traffic building (as is the case of mainstream SEO). SEMM also integrates organic SEO, trying to achieve top ranking without using paid means of achieving top in search engines, and PayPerClick SEO. For example some of the attention is placed on the web page layout design and how content and information is displayed to the website visitor.
3
Kumar, Kailash, i Abdulaziz Al-Besher. "Critical Analysis of Major Search Engines". Journal of Computational and Theoretical Nanoscience 16, nr 9 (1.09.2019): 3712–16. http://dx.doi.org/10.1166/jctn.2019.8239.
Pełny tekst źródłaStreszczenie:
This paper examines the overlapping of the results retrieved between three major search engines namely Google, Yahoo and Bing. A rigorous analysis of overlap among these search engines was conducted on 100 random queries. The overlap of first ten web page results, i.e., hundred results from each search engine and only non-sponsored results from these above major search engines were taken into consideration. Search engines have their own frequency of updates and ranking of results based on their relevance. Moreover, sponsored search advertisers are different for different search engines. Single search engine cannot index all Web pages. In this research paper, the overlapping analysis of the results were carried out between October 1, 2018 to October 31, 2018 among these major search engines namely, Google, Yahoo and Bing. A framework is built in Java to analyze the overlap among these search engines. This framework eliminates the common results and merges them in a unified list. It also uses the ranking algorithm to re-rank the search engine results and displays it back to the user.
4
de Cornière, Alexandre. "Search Advertising". American Economic Journal: Microeconomics 8, nr 3 (1.08.2016): 156–88. http://dx.doi.org/10.1257/mic.20130138.
Pełny tekst źródłaStreszczenie:
Search engines enable advertisers to target consumers based on the query they have entered. In a framework in which consumers search sequentially after having entered a query, I show that such targeting reduces search costs, improves matches and intensifies price competition. However, a profit-maximizing monopolistic search engine imposes a distortion by charging too high an advertising fee, which may negate the benefits of targeting. The search engine also has incentives to provide a suboptimal quality of sponsored links. Competition among search engines can increase or decrease welfare, depending on the extent of multi-homing by advertisers. (JEL D43, D83, L13, L86, M37)
5
Zuo, Xiang Lin, Wen Bo Wang, Ying Wang i Wan Li Zuo. "Research and Implementation of Improved Real-Time Crawler Modeling". Applied Mechanics and Materials 312 (luty 2013): 791–95. http://dx.doi.org/10.4028/www.scientific.net/amm.312.791.
Pełny tekst źródłaStreszczenie:
The past decade has witnessed the rapid development of search engines, which has become an indispensable part of everyday life. However, people are no longer satisfied with accessing to ordinary information, and they may instead pay more attention to fresh information. This demand poses challenges to traditional search engines, which concern more about relevance and importance of web pages. A search engine compresses three modules: crawler, indexer and searcher. Changes are needed for all these three parts to improve search engine's freshness. This paper investigates the first part of search engine crawler, we analyze the requirements for real-time crawler, and propose a novel real-time crawler based on more accurate estimation of refresh time. Experimental results demonstrate that the proposed real-time crawler can help search engine improve its freshness.
6
MARCHIORI, MASSIMO. "SOCIAL SEARCH ENGINES". International Journal of Bifurcation and Chaos 17, nr 07 (lipiec 2007): 2355–61. http://dx.doi.org/10.1142/s0218127407018440.
Pełny tekst źródłaStreszczenie:
The web landscape has undergone massive changes in the past years. On the other hand, search engine technology has not quite kept the same pace. In this article we look at the current scenarios, and argue how social flows can be used to make up for a better generation of search engines. We consider how society and technological progress somehow changed the rules of the game, introducing good but also bad components, and see how this situation could be modeled by search engines. Along this line of thinking, we show how the real components of interest are not just web pages, but flows of information of any kind, that need to be merged: this opens up for a wide range of improvements and far-looking developments, towards a new horizon of social search.
7
Dayanand, Dr C. D., i Syed M. S. Zain. "Search Engines in Biomedical Research". JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 04, nr 1 (15.03.2014): 259–60. http://dx.doi.org/10.58739/jcbs/v04i1.7.
Pełny tekst źródła
8
Bukhor, Saiful i. "Analisis Perbandingan Fitur Search Engine". INFORMAL: Informatics Journal 3, nr 1 (25.02.2019): 17. http://dx.doi.org/10.19184/isj.v3i1.9850.
Pełny tekst źródłaStreszczenie:
Search engines are used in the web as a tool for information retrieval. Web Server is a large warehouse of heterogeneous and unstructured data so that to filter out relevant information from people, a search engine is needed. Search engines usually consist of page repositories, indexing modules, query modules and ranking modules. Search engines do not work alone, besides that there is a web browser that supports the work of this search engine to be more optimal. A browser is software that is run on a user's computer (user) that displays web documents or information taken from a web server [1]. A browser is the type of intermediary the user uses most often. This paper aims to analyze three search engines namely Google, Yahoo, and Bing based on existing features. These features include web search, image search, video search, news search, route search, book search, change search settings, display number of views, shopping, language translator. Google stands as the best search engine among all search engines, which works using the Page Rank algorithm. Page Rank is a numerical value that determines the importance of a web page by calculating the number of backlinks.
9
Garner, Wendy. "Search engines". Nursing Standard 20, nr 22 (8.02.2006): 67–68. http://dx.doi.org/10.7748/ns.20.22.67.s53.
Pełny tekst źródła
10
Al-Shahi, Rustam. "Search Engines". Practical Neurology 1, nr 1 (październik 2001): 60–61. http://dx.doi.org/10.1046/j.1474-7766.2001.01012.x.
Pełny tekst źródła
11
WOOTTON, JACQUELINE C. "Search Engines". Journal of Women's Health 6, nr 3 (czerwiec 1997): 345–47. http://dx.doi.org/10.1089/jwh.1997.6.345.
Pełny tekst źródła
12
Manjula, D., i T. V. Geetha. "Semantic Search Engine". Journal of Information & Knowledge Management 03, nr 01 (marzec 2004): 107–17. http://dx.doi.org/10.1142/s0219649204000729.
Pełny tekst źródłaStreszczenie:
Currently existing search engines index documents only by words and as a result, when a query can be interpreted in different senses, the irrelevant results are obtained in the midst of relevant results. A semantic search engine is proposed here which indexes documents both by words and senses and as a result tries to avoid the irrelevant results. The "crawler" traverses the worldwide web and the normalized documents are sent to the disambiguator module, which identifies the top few sense(s) of ambiguous words by employing a weighted disambiguation algorithm. The documents are then indexed by the words and the senses. The query is also disambiguated in a similar manner and retrieval is performed by matching both the sense and the word. The performance of the semantic search engine is compared against traditional word based indexing and also against the commercial search engines like Google, Yahoo, Hotbot and Lycos. The results show an impressive precision for the semantic search engine compared to other engines, particularly for ambiguous queries.
13
Maree, Mohammed, Saadat M. Alhashmi i Mohammed Belkhatir. "Towards Improving Meta-Search through Exploiting an Integrated Search Model". Journal of Information & Knowledge Management 10, nr 04 (grudzień 2011): 379–91. http://dx.doi.org/10.1142/s0219649211003073.
Pełny tekst źródłaStreszczenie:
Meta-search engines are created to reduce the burden on the user by dispatching queries to multiple search engines in parallel. Decisions on how to rank the returned results are made based on the query's keywords. Although keyword-based search model produces good results, better results can be obtained by integrating semantic and statistical based relatedness measures into this model. Such integration allows the meta-search engine to search by meanings rather than only by literal strings. In this article, we present Multi-Search+, the next generation of Multi-Search general-purpose meta-search engine. The extended version of the system employs additional knowledge represented by multiple domain-specific ontologies to enhance both the query processing and the returned results merging. In addition, new general-purpose search engines are plugged-in to its architecture. Experimental results demonstrate that our integrated search model obtained significant improvement in the quality of the produced search results.
14
Goyal, Harsh, i Komal kapoor. "Search Engine Optimization with Google". International Journal for Research in Applied Science and Engineering Technology 10, nr 12 (31.12.2022): 496–501. http://dx.doi.org/10.22214/ijraset.2022.47904.
Pełny tekst źródłaStreszczenie:
Abstract: This paper is a finished survey that how various strategies of Search Engine Optimization (SEO) can help to improve product marketing. Search engines have now become an important channel for increasing SMEs’ global reach and helps companies to compete with other and large companies. SMEs are using search engine optimization to improve their online visibility as a result (SEO). With the help of Search Engine Optimization small companies can actually now compete with the large companies and can appear ahead of large. The main objective of every website to list at the top of all thelinks on search engines. So, search engine optimization is an art which helps to improves a website’s visibility in the search engine results. Search engines makes the business environment more transparent and more competitive. For data collection used literature survey. The findings of this study show that using an SEO strategy can significantly enhance product marketing.
15
Wellings, Susan, i Biddy Casselden. "An exploration into the information-seeking behaviours of engineers and scientists". Journal of Librarianship and Information Science 51, nr 3 (26.11.2017): 789–800. http://dx.doi.org/10.1177/0961000617742466.
Pełny tekst źródłaStreszczenie:
This article considers findings from Master’s research that investigated the information-seeking behaviours of engineers and scientists in the workplace. The objectives of this research were to establish where engineers and scientists look for information, consider their search preferences and determine the understanding they have of online search engine operation. There is limited current research in these areas looking at engineers and scientists in the workplace. The research was undertaken using a mixed methods research methodology. A survey was conducted with engineers and scientists working in the UK, using an online questionnaire and interviews to obtain quantitative and qualitative data. Due to the small sample size (115: 58 engineers, 57 scientists) this research does not make generalisations about the wider population. The research showed both similarities and differences between engineers’ and scientists’ information-seeking behaviours. The most popular resources used by both engineers and scientists were online search engines, specialist databases and scholar search engines; and the most used sources were from within their own organisation (colleagues and documents). Electronic versions of sources were preferred over print because of their searchability; however, when an item was found it was often printed out to read. Although the main focus of this research was not information literacy it is suggested that there are significant gaps in the understanding of search engine functionality by both engineers and scientists, even though it is the most heavily used resource for information seeking. Whilst this research does not make generalisations about the wider engineer and scientist populations, potential implications for information professionals working with these groups are considered.
16
Stevenson, Valerie. "Search Engine Update". Legal Information Management 1, nr 3 (2001): 28–31. http://dx.doi.org/10.1017/s1472669600000566.
Pełny tekst źródłaStreszczenie:
Looking back to 1999, there were a number of search engines which performed equally well. I recommended defining the search strategy very carefully, using Boolean logic and field search techniques, and always running the search in more than one search engine. Numerous articles and Web columns comparing the performance of different search engines came to different conclusions on the ‘best’ search engines. Over the last year, however, all the speakers at conferences and seminars I have attended have recommended Google as their preferred tool for locating all kinds of information on the Web. I confess that I have now abandoned most of my carefully worked out search strategies and comparison tests, and use Google for most of my own Web searches.
17
Mider, Daniel. "Sztuka wyszukiwania w Internecie – autorski przegląd wybranych technik i narzędzi". Studia Politologiczne 2019, nr 54 (20.11.2019): 191–229. http://dx.doi.org/10.33896/spolit.2019.54.8.
Pełny tekst źródłaStreszczenie:
The text consists of two parts. The first analyzed the internet search techniques – in a general heuristic sense and detailed i.e. specific techniques belonging to the family of query languages – so called operators (logical operators, localization operators, operators for communication channels in social media, chronometric operators, search operators in the content of the www and search operators for specific types of content). Their main function is to clarify search queries. The second part of the text contains a review and analysis of selected internet exploration tools – search engines (global search engines, search engines focusing on user privacy, metasearch engines and multisearch engines, regional search engines and catalogues, people search engines, search engines of gray literature and internet archives). Preview is not exhaustive or deepened, it serves rather the initial orientation of those interested in the search engine universe.
18
Lee, Sungin, Wonhong Jang, Eunsol Lee i Sam G. Oh. "Search engine optimization". Library Hi Tech 34, nr 2 (20.06.2016): 197–206. http://dx.doi.org/10.1108/lht-02-2016-0014.
Pełny tekst źródłaStreszczenie:
Purpose – The purpose of this paper is to examine the effect of, and identify core techniques of, search engine optimization (SEO) techniques applied to the web (http://lg-sl.net) and mobile (http//m.lg-sl.net) Science Land content and services at LG Sangnam Library in Korea. Design/methodology/approach – In accordance with three major SEO guidelines, ten SEO techniques were identified and applied, and their implications were extracted on three areas: improved search engine accessibility, increased relevance between site content and search engine keywords, and improved site credibility. The effects were quantitatively analyzed in terms of registered search engine keywords and influx of visits via search engines. Findings – This study shows that SEO techniques help increase the exposure of the library services and the number of visitors through search engines. Practical implications – SEO techniques have been applied to a few non-Korean information service organizations, but it is not a well-accepted practice in Korean libraries. And the dominant search engines in Korea have published their own SEO guidelines. Prior to this study, no significant endeavors have been undertaken in the context of Korean library services that have adopted SEO techniques to boost exposure of library services and increase user traffics. Originality/value – This is the first published study that has applied optimized SEO techniques to Korean web and mobile library services, in order to demonstrate the usefulness of the techniques for maximized exposure of library content.
19
R. Sathiya, R., A. G. Jayasree, Raghuvamsi Tangirala i Damerla Prasanna. "A Study of Various Result Merging Strategies for a Meta Search Engine". International Journal of Engineering & Technology 7, nr 3.6 (4.07.2018): 255. http://dx.doi.org/10.14419/ijet.v7i3.6.14983.
Pełny tekst źródłaStreszczenie:
As the amount of data is growing day by day, the sources for these data are also growing simultaneously and to search through this very data, we need the use of search engines. Since each search engine is limited to its confined set of data, it would be even better to make use of a Meta search engine which will give us more relevant results than the ones obtained from any single search engine. It acts as an interface that provides the user with a single view from the various underlying search engines. The data is collected from these underlying search engines after they are accessed with the processed query from the Meta search engine. The collected data is merged using an algorithm and the algorithm will be a major factor in giving the best possible results. In this paper, we are going to discuss about the various existing metasearch engines and the different merging techniques and their approaches.
20
Takama, Yasufumi, Yanjun Zhu, Shogo Kori, Koichi Yamaguchi, Lieu-Hen Chen i Hiroshi Ishikawa. "Design of Context Search Engine Based on Analysis of User’s Search Intentions". Journal of Advanced Computational Intelligence and Intelligent Informatics 20, nr 6 (20.11.2016): 910–18. http://dx.doi.org/10.20965/jaciii.2016.p0910.
Pełny tekst źródłaStreszczenie:
The context search engine has been studied for answering trend-related queries. As trend information is obtained from temporal data, which is common in many applications, the context engine is expected to be available regardless of domains. When using existing search engines, it is supposed that users submit a series of queries based on search intention. Therefore, search functions of the context search engine should be designed based on the user’s potential search intention. To analyze user’s behavior in information retrieval, this paper conducted experiments using existing Web search engines. The experimental result is analyzed, based on which the design of a context search engine is described. As another contribution of this paper, new types of temporal variations which can be used to specify queries of the context search engine are also proposed. The results of user experiments confirmed the usability of the proposed temporal variations.
21
Zhang, Jin, Xin Cai, Taowen Le, Wei Fei i Feicheng Ma. "A Study on Effective Measurement of Search Results from Search Engines". Journal of Global Information Management 27, nr 1 (styczeń 2019): 196–221. http://dx.doi.org/10.4018/jgim.2019010110.
Pełny tekst źródłaStreszczenie:
This article describes how as internet technology continues to change and improve lives and societies worldwide, effective global information management becomes increasingly critical, and effective Internet information retrieval systems become more and more significant in providing Internet users worldwide with accurate and complete information. Search engine evaluation is an important research field as search engines directly determine the quality of information users' Internet searches. Relevance-decrease pattern/model plays an important role in search engine result evaluation. This research studies effective measurement of search results through investigating relevance-decrease patterns of search results from two popular search engines: Google and Bing. The findings can be applied to relevance-evaluation of search results from other information retrieval systems such as OPAC, can help make search engine evaluations more accurate and sound, and can provide global information management personnel with valuable insights.
22
Paraskevas, Alexandros, Ioannis Katsogridakis, Rob Law i Dimitrios Buhalis. "Search Engine Marketing: Transforming Search Engines into Hotel Distribution Channels". Cornell Hospitality Quarterly 52, nr 2 (27.01.2011): 200–208. http://dx.doi.org/10.1177/1938965510395016.
Pełny tekst źródła
23
Zhang, Fan, Xiu Lan Feng i Jin Sheng Yuan. "Vertical Search Engines on Forestry". Advanced Materials Research 143-144 (październik 2010): 1270–74. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.1270.
Pełny tekst źródłaStreszczenie:
With the rapid growth of forestry information,the amount of information on forestry is increasing rapidly. Comprehensive search engine is powerful,but its speed and accuracy of industry search is limited, owing to a host of information. According to the definition of vertical search engines,Heritrix Web Crawler and full text search framework of Lucene,this paper is mainly concerned the information of capture,indexing and search strategies in order to achieve an ideal forestry vertical search engine design. Experiments compared with comprehensive have proved the effectiveness of the proposed method.
24
O’Neill, Stephen, i Kevin Curran. "The Core Aspects of Search Engine Optimisation Necessary to Move up the Ranking". International Journal of Ambient Computing and Intelligence 3, nr 4 (październik 2011): 62–70. http://dx.doi.org/10.4018/jaci.2011100105.
Pełny tekst źródłaStreszczenie:
Search engine optimization (SEO) is the process of improving the visibility, volume and quality of traffic to website or a web page in search engines via the natural search results. SEO can also target other areas of a search, including image search and local search. SEO is one of many different strategies used for marketing a website but SEO has been proven the most effective. An Internet marketing campaign may drive organic search results to websites or web pages but can be involved with paid advertising on search engines. All search engines have a unique way of ranking the importance of a website. Some search engines focus on the content while others review Meta tags to identify who and what a web site’s business is. Most engines use a combination of Meta tags, content, link popularity, click popularity and longevity to determine a sites ranking. To make it even more complicated, they change their ranking policies frequently. This paper provides an overview of search engine optimisation strategies and pitfalls.
25
Hook, David. "Study of Search Engine Transaction Logs Shows Little Change in How Users use Search Engines". Evidence Based Library and Information Practice 1, nr 3 (14.09.2006): 67. http://dx.doi.org/10.18438/b80014.
Pełny tekst źródłaStreszczenie:
A review of:
Jansen, Bernard J., and Amanda Spink. “How Are We Searching the World Wide Web? A Comparison of Nine Search Engine Transaction Logs.” Information Processing & Management 42.1 (2006): 248-263.
Objective – To examine the interactions between users and search engines, and how they have changed over time.
Design – Comparative analysis of search engine transaction logs.
Setting – Nine major analyses of search engine transaction logs.
Subjects – Nine web search engine studies (4 European, 5 American) over a seven-year period, covering the search engines Excite, Fireball, AltaVista, BWIE and AllTheWeb.
Methods – The results from individual studies are compared by year of study for percentages of single query sessions, one-term queries, operator (and, or, not, etc.) usage and single result page viewing. As well, the authors group the search queries into eleven different topical categories and compare how the breakdown has changed over time.
Main Results – Based on the percentage of single query sessions, it does not appear that the complexity of interactions has changed significantly for either the U.S.-based or the European-based search engines. As well, there was little change observed in the percentage of one-term queries over the years of study for either the U.S.-based or the European-based search engines. Few users (generally less than 20%) use Boolean or other operators in their queries, and these percentages have remained relatively stable. One area of noticeable change is in the percentage of users viewing only one results page, which has increased over the years of study. Based on the studies of the U.S.-based search engines, the topical categories of ‘People, Place or Things’ and ‘Commerce, Travel, Employment or Economy’ are becoming more popular, while the categories of ‘Sex and Pornography’ and ‘Entertainment or Recreation’ are declining.
Conclusions – The percentage of users viewing only one results page increased during the years of the study, while the percentages of single query sessions, one-term sessions and operator usage remained stable. The increase in single result page viewing implies that users are tending to view fewer results per web query. There was also a significant difference in the percentage of queries using Boolean operators between the US-based and the European-based search engines. One of the study’s findings was that results from a study of a particular search engine cannot necessarily be applied to all search engines. Finally, web search topics show a trend towards information or commerce searching rather than entertainment.
26
Li, Yi, Zhihui Yuan, Yujie Li i Jing Liu. "Factors influencing search engine usage behavior". Social Behavior and Personality: an international journal 46, nr 1 (9.01.2018): 1–10. http://dx.doi.org/10.2224/sbp.6211.
Pełny tekst źródłaStreszczenie:
We analyzed the effect of individual factors, contextual factors, and perception of search engine advertising on users' search engine usage behavior. The sample comprised 404 Chinese who used search engines in the context of their paid employment. Results showed that (a) perceived search skills and perceived search engine reliance significantly and positively impacted users' general search engine usage, (b) perceived advertising clutter reduced the beneficial effects of perceived search skills on users' general search engine usage, (c) users with higher perceived search engine reliance preferred search engines to other online search methods, and (d) prior negative experience reduced the positive link between perceived search engine reliance and users' specific search engine usage. Our findings suggest that search engine designers and operators should focus on individual and contextual factors influencing search engine usage behavior, and should consider users' perception of advertising on search engine programs.
27
Kaur, Gurneet. "ROLE AND IMPORTANCE OF SEARCH ENGINE OPTIMIZATION". International Journal of Research -GRANTHAALAYAH 5, nr 6 (30.06.2017): 147–51. http://dx.doi.org/10.29121/granthaalayah.v5.i6.2017.2007.
Pełny tekst źródłaStreszczenie:
Search Engines are an indispensible platform for users all over the globe to search for relevant information online. Search Engine Optimization (SEO) is the exercise of improving the position of a website in search engine rankings, for a chosen set of keywords. SEO is divided into two parts: On-Page and Off-Page SEO. In order to be successful, both the areas require equal attention. This paper aims to explain the functioning of the search engines along with the role and importance of search engine optimization.
28
Heintz, Christophe. "Web search engines and distributed assessment systems". Distributed Cognition 14, nr 2 (21.09.2006): 387–409. http://dx.doi.org/10.1075/pc.14.2.15hei.
Pełny tekst źródłaStreszczenie:
I analyse the impact of search engines on our cognitive and epistemic practices. For that purpose, I describe the processes of assessment of documents on the Web as relying on distributed cognition. Search engines together with Web users, are distributed assessment systems whose task is to enable efficient allocation of cognitive resources of those who use search engines. Specifying the cognitive function of search engines within these distributed assessment systems allows interpreting anew the changes that have been caused by search engine technologies. I describe search engines as implementing reputation systems and point out the similarities with other reputation systems. I thus call attention to the continuity in the distributed cognitive processes that determine the allocation of cognitive resources for information gathering from others.
29
Chen, Lin Chih. "Building a Post-Search Academic Search Engine Based on a Serial of Clustering Methods". Applied Mechanics and Materials 284-287 (styczeń 2013): 3051–55. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3051.
Pełny tekst źródłaStreszczenie:
Academic search engines, such as Google Scholar and Scirus, provide a Web-based interface to effectively find relevant scientific articles to researchers. However, current academic search engines are lacking the ability to cluster the search results into a hierarchical tree structure. In this paper, we develop a post-search academic search engine by using a mixed clustering method. In this method, we first adopt a suffix tree clustering and a two-way hash mechanism to generate all meaningful labels. We then develop a divisive hierarchical clustering algorithm to organize the labels into a hierarchical tree. According to the results of experiments, we conclude that using our mixed clustering method to cluster the search results can give significant performance gains than current academic search engines. In this paper, we make two contributions. First, we present a high performance academic search engine based on our mixed clustering method. Second, we develop a divisive hierarchical clustering algorithm to organize all returned search results into a hierarchical tree structure.
30
Qian, Shuang Yan. "Design and Implementation of Landscape Plant Information Search Engine". Advanced Materials Research 971-973 (czerwiec 2014): 1892–96. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1892.
Pełny tekst źródłaStreszczenie:
With the explosive growth of the World Wide Web information, we need the appropriate retrieval tools, especially the retrieval of the professional information, we need a embody of search engines with the professional vocabulary features. Based on the research of search engine's core technology, this paper presents a design scheme which is the botanical garden plant information search engine based on Internet data, we descript of its design.
31
Thelwall, Mike, i Laura Hasler. "Blog search engines". Online Information Review 31, nr 4 (14.08.2007): 467–79. http://dx.doi.org/10.1108/14684520710780421.
Pełny tekst źródła
32
Collinge, William H. "Slovak Search Engines". Slavic & East European Information Resources 3, nr 4 (wrzesień 2002): 89–95. http://dx.doi.org/10.1300/j167v03n04_10.
Pełny tekst źródła
33
Rakesh Kumar, Rakesh Kumar, P. K. Suri i R. K. Chauhan. "Search Engines Evaluation". DESIDOC Bulletin of Information Technology 25, nr 2 (1.03.2005): 3–10. http://dx.doi.org/10.14429/dbit.25.2.3649.
Pełny tekst źródła
34
Marin, Mauricio, Veronica Gil-Costa, Carolina Bonacic i Alonso Inostrosa. "Simulating Search Engines". Computing in Science & Engineering 19, nr 1 (styczeń 2017): 62–73. http://dx.doi.org/10.1109/mcse.2017.8.
Pełny tekst źródła
35
Storkey, Derek. "Search engines' bias". New Scientist 191, nr 2569 (wrzesień 2006): 22–23. http://dx.doi.org/10.1016/s0262-4079(06)60482-x.
Pełny tekst źródła
36
Giustini, Dean. "Internet Search Engines". Health Care on the Internet 3, nr 2 (30.08.1999): 59–64. http://dx.doi.org/10.1300/j138v03n02_09.
Pełny tekst źródła
37
Munson, Kurt I. "Internet Search Engines". Journal of Internet Cataloging 2, nr 3-4 (31.05.2000): 47–60. http://dx.doi.org/10.1300/j141v02n03_04.
Pełny tekst źródła
38
Garoufallou, Emmanouel. "Evaluating search engines". Program 46, nr 2 (20.04.2012): 182–98. http://dx.doi.org/10.1108/00330331211221837.
Pełny tekst źródła
39
Schwartz, Candy. "Web search engines". Journal of the American Society for Information Science 49, nr 11 (1998): 973–82. http://dx.doi.org/10.1002/(sici)1097-4571(1998)49:11<973::aid-asi3>3.0.co;2-z.
Pełny tekst źródła
40
Rajashekar, T. B. "Web search engines". Resonance 3, nr 11 (listopad 1998): 40–53. http://dx.doi.org/10.1007/bf02838708.
Pełny tekst źródła
41
Unadkat, Rimpal. "Survey Paper on Semantic Web". International Journal of Advanced Pervasive and Ubiquitous Computing 7, nr 4 (październik 2015): 13–17. http://dx.doi.org/10.4018/ijapuc.2015100102.
Pełny tekst źródłaStreszczenie:
The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. However, to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper the authors present survey on the role of search engines in intelligent web, Background, Challenges and some issues.
42
Bello, Rotimi-Williams, i Firstman Noah Otobo. "Conversion of Website Users to Customers-The Black Hat SEO Technique". International Journal of Advanced Research in Computer Science and Software Engineering 8, nr 6 (29.06.2018): 29. http://dx.doi.org/10.23956/ijarcsse.v8i6.714.
Pełny tekst źródłaStreszczenie:
Search Engine Optimization (SEO) is a technique which helps search engines to find and rank one site over another in response to a search query. SEO thus helps site owners to get traffic from search engines. Although the basic principle of operation of all search engines is the same, the minor differences between them lead to major changes in results relevancy. Choosing the right keywords to optimize for is thus the first and most crucial step to a successful SEO campaign. In the context of SEO, keyword density can be used as a factor in determining whether a webpage is relevant to a specified keyword or keyword phrase. SEO is known for its contribution as a process that affects the online visibility of a website or a webpage in a web search engine's results. In general, the earlier (or higher ranked on the search results page), and more frequently a website appears in the search results list, the more visitors it will receive from the search engine's users; these visitors can then be converted into customers. It is the objective of this paper to re-present black hat SEO technique as an unprofessional but profitable method of converting website users to customers. Having studied and understood white hat SEO, black hat SEO, gray hat SEO, crawling, indexing, processing and retrieving methods used by search engines as a web software program or web based script to search for documents and files for keywords over the internet to return the list of results containing those keywords; it would be seen that proper application of SEO gives website a better user experience, SEO helps build brand awareness through high rankings, SEO helps circumvent competition, and SEO gives room for high increased return on investment.
43
Beneventano, Domenico, i Sonia Bergamaschi. "Provenance-Aware Semantic Search Engines Based On Data Integration Systems". International Journal of Organizational and Collective Intelligence 4, nr 2 (kwiecień 2014): 1–30. http://dx.doi.org/10.4018/ijoci.2014040101.
Pełny tekst źródłaStreszczenie:
Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described.
44
Wani, Zahid Ashraf, i Adil Ahmad Sofi. "Retrieval efficiency of select search engines vis-à-vis diverse open courseware formats". Electronic Library 34, nr 3 (6.06.2016): 457–70. http://dx.doi.org/10.1108/el-08-2014-0132.
Pełny tekst źródłaStreszczenie:
Purpose This paper aims to gauge the visibility of open content available in different formats of select open courseware (OCW) repositories through prominent search engines. Design/methodology/approach Open content in three formats (pdf, audio and video) from four OCW repositories listed in the OCW consortium under the science and technology subject heading were searched through seven select search engines. Findings None of the selected OCW repositories are fully visible on the selected search engines. Visibility of OCW content varied from one search engine to the other and was affected by the format in which it is available. Google is the best search engine for retrieving OCW content, whereas OCWfinder – a specialized search engine for retrieving OCW – has performed dismally. Research limitations/implications The study demonstrates the need for enhancing the visibility of open content through using search engine optimization techniques. Originality/value The study intends to supply findings that could be used by stakeholders to improve the visibility of OCW repositories. It is an attempt to draw a comparison between search engines for their ability to index different formats of OCW in the selected repositories. Findings can be used by information professionals to brush their information hunting skills.
45
Economides, Anastasios A., i Antonia Kontaratou. "Hotels Pricing at Travel Search Engines". International Journal of Online Marketing 1, nr 4 (październik 2011): 64–74. http://dx.doi.org/10.4018/ijom.2011100105.
Pełny tekst źródłaStreszczenie:
Web 2.0 applications have been increasingly recognized as important information sources for consumers, including the domain of tourism. In the center of the travelers’ interest is the use of these applications in order to compare and choose hotels for their accommodation at various tourism destinations. It is important to investigate the issues related to the presence of the hotels on some of the most dominant tourism search engines and to the prices that they present. This paper compares the search engines and determines whether the cheapest and to the most complete one can be discovered. This paper focuses on analyzing the hotel prices presented on their official websites and on the following eight tourism search engines: Booking.com, Expedia.com, Hotelclub.com, Hotels.com, Orbitz.com, Priceline.com, Travelocity.com, and Venere.com. The data analysis, by the use of the descriptive statistics, showed that only 23% of the hotels examined are found at all the search engines. Furthermore, the price analysis showed that there are differences among the search engines. Although some search engines statistically give lower prices, there is not a single search engine that always gives the lowest price for every hotel.
46
Alqaaidi, Sakher Khalil. "A Hybrid Approach for Web Change Detection". International Journal of Information Technology and Web Engineering 8, nr 2 (kwiecień 2013): 46–69. http://dx.doi.org/10.4018/jitwe.2013040104.
Pełny tekst źródłaStreszczenie:
Search engines save copies of crawled web pages to provide instant search results, saved pages may become old and un-updated as original pages change providing new information and new links, and most of websites don’t submit these new changes to search engines so search engines don’t depend mainly on websites techniques of submitting changes. Keeping pages fresh and updated in search engine is important for giving real page ranks and for providing real time information. Techniques were invented to improve the page update process by search engine. In this paper the author combines two of good known techniques and implements the new one via experiments that improve better results in different experiment cases.
47
Zhou, Bao Jian, Wei Qi, Li Gang Chen i Qiang Ye. "Online Sponsored Search Budget Allocation across Search Engines: A Simulation Analysis". Applied Mechanics and Materials 577 (lipiec 2014): 926–30. http://dx.doi.org/10.4028/www.scientific.net/amm.577.926.
Pełny tekst źródłaStreszczenie:
Recently, sponsored search has been rapidly growing which increase tremendous interests in improving performance in search engine marketplace. The complexity of market dynamics makes it difficult for advertisers to maximizing the effect of advertising. Simulation analysis is a more viable option than real world testing especially in fast accomplishing different experiments and effectively prompting decision making supports. In this paper, the sponsored search budget allocation problem model integrated with quality score for single search engine has been explored and then extended to multiple quality-based search engines. Also, several advertising policies have been proposed and verified under the general simulation framework in both single and multiple search engine scenarios.
48
Fesenmaier, Daniel R., Zheng Xiang, Bing Pan i Rob Law. "A Framework of Search Engine Use for Travel Planning". Journal of Travel Research 50, nr 6 (28.12.2010): 587–601. http://dx.doi.org/10.1177/0047287510385466.
Pełny tekst źródłaStreszczenie:
Search engines have become one of the primary tools for travel planning and, as such, have become an important element in the marketing efforts of destination marketing organizations. Recently, it has been demonstrated that because of the dynamic relationships among search engine providers, the tourism industry, and travelers, it is essential that destination marketing organizations understand how search engines are used by travelers within the travel planning process. This study proposed a three-stage model that provides a framework for examining how online travelers use search engines and how different aspects of the travel planning process shape this use. The model was evaluated based on a national survey of American online travel planners, and the findings provide significant insight into the role of search engines for travel planning. The implications of the study for search engine marketing are discussed as well as several challenges for future research.
49
Loan, Fayaz Ahmad, Umer Yousuf Parray i Aasif Mohammad Khan. "Performance of search engines in harvesting grey literature". Library Hi Tech News 39, nr 2 (8.02.2022): 21–23. http://dx.doi.org/10.1108/lhtn-12-2021-0094.
Pełny tekst źródłaStreszczenie:
Purpose The purpose of the study is to examine how far search engines have succeeded in retrieving electronic theses and dissertations (ETDs) using different search techniques and approaches. This study also compared the search results of search engines to identify the most suitable search engine for searching and retrieving the ETDs. Design/methodology/approach Fifty ETDs have been selected using systematic random sampling techniques from Shodhganga (a reservoir of Indian theses). These ETDs have been searched through prominent search engines such as Google, Google Scholar, Yahoo and Open Access Theses and Dissertation (OATD) using different search approaches and techniques. Findings The overall performance of the search engines revealed that Google retrieved most of the ETDs (89%) followed by OATD (88.5%), Yahoo (78%) and Google Scholar (76%), respectively. Originality/value The results have brought into light interesting findings regarding search engines in retrieving grey literature.
50
Breytenbach, Johan, i Theo Macdonald. "Search engine coverage of South African and Afrikaans websites". Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 29, nr 3 (13.01.2010): 107–18. http://dx.doi.org/10.4102/satnt.v29i3.15.
Pełny tekst źródłaStreszczenie:
Search engines are web-based systems used for retrieving information from the Internet. They have economic power because of their positioning between information providers and information seekers. Search engines can influence the flow of information – possible business transactions – by the way information is indexed, stored, and portrayed as search results. If a search engine provides good coverage of website content from one group of information providers (grouped by country or language) to the detriment of another group, it will have economic implications for both groups. It is known that certain developed countries and the language(s) of these countries, have better coverage than other developed countries and their languages. This study investigates for the first time the website coverage of a developing country, South Africa, and one of its indigenous languages, Afrikaans. What does the existence of search engine country bias and/or linguistic bias imply for developing countries such as South Africa? South African information providers would have reason for concern if information seekers’ attention were continually routed abroad by biased search engines. South African information seekers would also be done an injustice if they cannot find local web content (or content in their indigenous languages) due to poor search engine coverage. Biased search results guide them away from cheaper, more convenient local information due to poor coverage of local content. Search engines are negatively impacted in turn, when users become tired of the poor local coverage and unwanted international search results and turn to other tools, such as local search engines, for information retrieval. How severe are the effects of search engine bias on developing countries such as South Africa? The body of knowledge discussing search engine bias is very limited, and this study is motivated by stating that, given the possibility of negative economic implications of such bias for developing economies, more research on this topic is justified and urgently needed. The study revealed that Western website content enjoys better coverage than South African website content. After further investigation it was also found that English website content enjoys better coverage than website content in Afrikaans. There is, therefore, a proven search engine bias in favour of Western developed countries and the English language. Website visibility is also studied as a possible cause of search engine bias. It would seem plausible that a relationship may exist between the coverage of websites by search engines and how visible these websites are to a search engine’s crawlers. For the determination of website visibility, the number of in links towards each sample domain was determined. This study shows that the higher visibility of websites from developed countries is a cause of search engine bias in favour of these websites. With website visibility proven as a cause of bias, the study indicates that South Africa, and possibly other developing countries, is lagging far behind in the race to create highly visible websites surrounded by well-covered hyperlink structures – the kind of websites most likely to be covered by search engine crawlers. It is the responsibilty of information providers from developing countries to create more hyperlinks between websites from their countries, as well as creating visible website content in their indigenous languages. Search engine coverage bias has negative economic implications for developing countries such as South Africa. This paper investigates the severity of country related coverage bias against websites from the South African domain(s) and the correlation between website coverage and website visibility. Other possible causes of coverage bias found in literature include indexing algorithms, ranking algorithms and lexicons struggling with non-English content. Information providers’ lack of knowledge about website coverage and search engine tools is discussed as another possible cause of country bias.