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MOOGLE: a metamodel-based model search engine

Lucredio, Daniel; Fortes, Renata Pontin de Mattos; Whittle, Jon
Fonte: SPRINGER HEIDELBERG; HEIDELBERG Publicador: SPRINGER HEIDELBERG; HEIDELBERG
Tipo: Artigo de Revista Científica
ENG
Relevância na Pesquisa
56.32%
Models are becoming increasingly important in the software development process. As a consequence, the number of models being used is increasing, and so is the need for efficient mechanisms to search them. Various existing search engines could be used for this purpose, but they lack features to properly search models, mainly because they are strongly focused on text-based search. This paper presents Moogle, a model search engine that uses metamodeling information to create richer search indexes and to allow more complex queries to be performed. The paper also presents the results of an evaluation of Moogle, which showed that the metamodel information improves the accuracy of the search.; Microsoft Research; CAPES [0657/07-7]; CNPq [141975/2008-3]; FAPESP [2008/11476-8]; FACEPE [573964/2008-4, APQ-1037-1.03/08]

Search engine and optimization

Costa, Francisco Miguel de Sá Pereira
Fonte: Instituto Politécnico de Viseu. Escola Superior de Tecnologia e Gestão de Viseu Publicador: Instituto Politécnico de Viseu. Escola Superior de Tecnologia e Gestão de Viseu
Tipo: Dissertação de Mestrado
Publicado em /12/2011 POR
Relevância na Pesquisa
66.3%
A relevância do Search Engine Optimization (SEO), traduzindo para Português “Optimização de Sites para Motores de Pesquisa”, hoje em dia revela-se um tema muito importante para quem pretende ter um site atraente, com muitas visitas e mais tráfego. Todos já se perguntaram porque é que alguns sites por exemplo o sapo se encontra em primeiro lugar na pesquisa do Google. Existem técnicas para que um site fique em primeiro lugar nos resultados obtidos nos motores de pesquisa, mas nem tudo o que parece é. Apesar de ser uma técnica muito útil, o SEO é também muito complexa e difícil de usar para o utilizador comum do computador e internet. Existem outros problemas para além da complexidade tais como: - O que faz uma iniciativa de SEO de um site dar certo e atingir os resultados? - Quais as técnicas a utilizar? - Que ferramentas a utilizar? - Qual o melhor programa a utilizar? - Qual a palavra-chave mais procurada nos motores de pesquisa? - Quais os benefícios para as organizações e seus sites? Para dar respostas a todas estas perguntas, vai dividir-se a dissertação em 3 partes: - Na primeira é feito o levantamento do “estado da arte”, onde se apresentam as técnicas que existem.Na segunda é feito um inquérito para perceber na prática quais das técnicas anteriores são mais utilizadas. - Por fim...

Gestão de Search Engine Optimization: implementação de um plano de gestão de SEO (Search Engine Optimization) para o portal de comércio eletrónico do continente

Sá, Rui Miguel Pereira
Fonte: Universidade de Trás-os-Montes e Alto Douro Publicador: Universidade de Trás-os-Montes e Alto Douro
Tipo: Dissertação de Mestrado
POR
Relevância na Pesquisa
46.53%
Dissertação de Mestrado em Comunicação e Multimédia; O domínio da Internet como meio de comunicação tem vindo a ser reforçado nas últimas décadas, tornando-se uma das principais fontes para obtenção de informação. Através dela surgiram novas formas de comunicação e novos paradigmas de consumo, produzindo-se uma quantidade maciça de informação em suporte digital. Os motores de pesquisa surgem para proporcionar aos utilizadores da Internet, formas eficazes de pesquisa de informação. O motor de pesquisa Google afirmou-se como o mecanismo preferido dos internautas, que chegam a confundi-lo com a própria Internet. Numa sociedade cada vez mais digital, todos os instrumentos mobilizadores de tráfego na Internet assumem um papel fundamental na estratégia de marketing de entrada para os portais de e-retalhistas. Os motores de pesquisa são assim, hoje em dia, vitais na obtenção de visitas para estes portais. Neste contexto, torna-se necessária a otimização da pesquisa na Internet, especialmente para aquela que se pretende que seja a principal fonte nestes meios, ou seja, a pesquisa orgânica que é um garante de tráfego gratuito. Esta dissertação apresenta e explora um conjunto diversificado de boas práticas e técnicas de otimização recomendadas pelos principais mecanismos de pesquisa para websites e-commerce. Apresenta também uma proposta de um processo de otimização contínua para a gestão do Search Engine Optimization.; The domain of the Internet as a mean of communication has been strengthened in the last decades...

Towards active seo (search engine optimization) 2.0

Boutet,Charles-Victor; Quoniam,Luc; Smith,William Samuel Ravatua
Fonte: TECSI Laboratório de Tecnologia e Sistemas de Informação - FEA/USP Publicador: TECSI Laboratório de Tecnologia e Sistemas de Informação - FEA/USP
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/12/2012 EN
Relevância na Pesquisa
56.28%
In the age of writable web, new skills and new practices are appearing. In an environment that allows everyone to communicate information globally, internet referencing (or SEO) is a strategic discipline that aims to generate visibility, internet traffic and a maximum exploitation of sites publications. Often misperceived as a fraud, SEO has evolved to be a facilitating tool for anyone who wishes to reference their website with search engines. In this article we show that it is possible to achieve the first rank in search results of keywords that are very competitive. We show methods that are quick, sustainable and legal; while applying the principles of active SEO 2.0. This article also clarifies some working functions of search engines, some advanced referencing techniques (that are completely ethical and legal) and we lay the foundations for an in depth reflection on the qualities and advantages of these techniques.

Keyword Competition and Determinants of Ad Position in Sponsored Search Advertising

Karimi, Armin
Fonte: Brock University Publicador: Brock University
Tipo: Electronic Thesis or Dissertation
ENG
Relevância na Pesquisa
56.33%
Given the significant growth of the Internet in recent years, marketers have been striving for new techniques and strategies to prosper in the online world. Statistically, search engines have been the most dominant channels of Internet marketing in recent years. However, the mechanics of advertising in such a market place has created a challenging environment for marketers to position their ads among their competitors. This study uses a unique cross-sectional dataset of the top 500 Internet retailers in North America and hierarchical multiple regression analysis to empirically investigate the effect of keyword competition on the relationship between ad position and its determinants in the sponsored search market. To this end, the study utilizes the literature in consumer search behavior, keyword auction mechanism design, and search advertising performance as the theoretical foundation. This study is the first of its kind to examine the sponsored search market characteristics in a cross-sectional setting where the level of keyword competition is explicitly captured in terms of the number of Internet retailers competing for similar keywords. Internet retailing provides an appropriate setting for this study given the high-stake battle for market share and intense competition for keywords in the sponsored search market place. The findings of this study indicate that bid values and ad relevancy metrics as well as their interaction affect the position of ads on the search engine result pages (SERPs). These results confirm some of the findings from previous studies that examined sponsored search advertising performance at a keyword level. Furthermore...

Overlapping factors in search engine optimization and web accessibility

Moreno, Lourdes; Martínez, Paloma
Fonte: Emerald Group Publishing Publicador: Emerald Group Publishing
Tipo: info:eu-repo/semantics/acceptedVersion; info:eu-repo/semantics/article
Publicado em /06/2013 ENG
Relevância na Pesquisa
46.53%
Purpose - The purpose of this paper is to show that the pursuit of a high search engine relevance ranking for a webpage is not necessarily incompatible with the pursuit of web accessibility. Design/methodology/approach - The research described arose from an investigation into the observed phenomenon that pages from accessible websites regularly appear near the top of search engine (such as Google) results, without any deliberate effort having been made through the application of search engine optimization (SEO) techniques to achieve this. The reasons for this phenomenon appear to be found in the numerous similarities and overlapping characteristics between SEO factors and web accessibility guidelines. Context is provided through a review of sources including accessibility standards and relevant SEO studies and the relationship between SEO and web accessibility is described. The particular overlapping factors between the two are identified and the precise nature of the overlaps is explained in greater detail. Findings - The available literature provides firm evidence that the overlapping factors not only serve to ensure the accessibility of a website for all users, but are also useful for the optimization of the website's search engine ranking. The research demonstrates that any SEO project undertaken should include...

Categorizing and ranking search engine's results by semantic similarity

Hao, T.; Lu, Z.; Wang, S.; Zou, T.; Gu, S.; Wenyin, L.
Fonte: ACM Publicador: ACM
Tipo: Conference paper
Publicado em //2008 EN
Relevância na Pesquisa
56.24%
An automatic method for text categorizing and ranking search engine's results by semantic similarity is proposed in this paper. We first obtain nouns and verbs from snippets obtained from search engine using Name Entity Recognition and part-of speech. A semantic similarity algorithm based on WordNet is proposed to calculate the similarity of each snippet to each of the pre-defined categories. A balanced similarity ranking method combined with Google's rank and timeliness of the pages is proposed to rank these snippets. Preliminary experiments with 500 labeled questions from TREC03 show that 72.7% are correctly categorized.; Tianyong Hao, Zhi Lu, Shitong Wang, Tiansong Zou, Shenhua Gu, Liu Wenyin

Towards Next Generation Vertical Search Engines

Zheng, Li
Fonte: FIU Digital Commons Publicador: FIU Digital Commons
Tipo: Artigo de Revista Científica Formato: application/pdf
Relevância na Pesquisa
56.57%
As the Web evolves unexpectedly fast, information grows explosively. Useful resources become more and more difficult to find because of their dynamic and unstructured characteristics. A vertical search engine is designed and implemented towards a specific domain. Instead of processing the giant volume of miscellaneous information distributed in the Web, a vertical search engine targets at identifying relevant information in specific domains or topics and eventually provides users with up-to-date information, highly focused insights and actionable knowledge representation. As the mobile device gets more popular, the nature of the search is changing. So, acquiring information on a mobile device poses unique requirements on traditional search engines, which will potentially change every feature they used to have. To summarize, users are strongly expecting search engines that can satisfy their individual information needs, adapt their current situation, and present highly personalized search results. In my research, the next generation vertical search engine means to utilize and enrich existing domain information to close the loop of vertical search engine's system that mutually facilitate knowledge discovering, actionable information extraction...

Search engine advertising in web retailing : an efficiency analysis

Mokaya, Brian O.
Fonte: Brock University Publicador: Brock University
Tipo: Electronic Thesis or Dissertation
ENG
Relevância na Pesquisa
56.65%
This study examines the efficiency of search engine advertising strategies employed by firms. The research setting is the online retailing industry, which is characterized by extensive use of Web technologies and high competition for market share and profitability. For Internet retailers, search engines are increasingly serving as an information gateway for many decision-making tasks. In particular, Search engine advertising (SEA) has opened a new marketing channel for retailers to attract new customers and improve their performance. In addition to natural (organic) search marketing strategies, search engine advertisers compete for top advertisement slots provided by search brokers such as Google and Yahoo! through keyword auctions. The rationale being that greater visibility on a search engine during a keyword search will capture customers' interest in a business and its product or service offerings. Search engines account for most online activities today. Compared with the slow growth of traditional marketing channels, online search volumes continue to grow at a steady rate. According to the Search Engine Marketing Professional Organization...

Nowcasting economic and social data: when and why search engine data fails, an illustration using Google Flu Trends

Ormerod, Paul; Nyman, Rickard; Bentley, R Alexander
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 01/08/2014
Relevância na Pesquisa
46.49%
Obtaining an accurate picture of the current state of the economy is particularly important to central banks and finance ministries, and of epidemics to health ministries. There is increasing interest in the use of search engine data to provide such 'nowcasts' of social and economic indicators. However, people may search for a phrase because they independently want the information, or they may search simply because many others are searching for it. We consider the effect of the motivation for searching on the accuracy of forecasts made using search engine data of contemporaneous social and economic indicators. We illustrate the implications for forecasting accuracy using four episodes in which Google Flu Trends data gave accurate predictions of actual flu cases, and four in which the search data over-predicted considerably. Using a standard statistical methodology, the Bass diffusion model, we show that the independent search for information motive was much stronger in the cases of accurate prediction than in the inaccurate ones. Social influence, the fact that people may search for a phrase simply because many others are, was much stronger in the inaccurate compared to the accurate cases. Search engine data may therefore be an unreliable predictor of contemporaneous indicators when social influence on the decision to search is strong.; Comment: 5 pages

What Users See - Structures in Search Engine Results Pages

Hoechstoetter, Nadine; Lewandowski, Dirk
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 18/11/2015
Relevância na Pesquisa
46.54%
This paper investigates the composition of search engine results pages. We define what elements the most popular web search engines use on their results pages (e.g., organic results, advertisements, shortcuts) and to which degree they are used for popular vs. rare queries. Therefore, we send 500 queries of both types to the major search engines Google, Yahoo, Live.com and Ask. We count how often the different elements are used by the individual engines. In total, our study is based on 42,758 elements. Findings include that search engines use quite different approaches to results pages composition and therefore, the user gets to see quite different results sets depending on the search engine and search query used. Organic results still play the major role in the results pages, but different shortcuts are of some importance, too. Regarding the frequency of certain host within the results sets, we find that all search engines show Wikipedia results quite often, while other hosts shown depend on the search engine used. Both Google and Yahoo prefer results from their own offerings (such as YouTube or Yahoo Answers). Since we used the .com interfaces of the search engines, results may not be valid for other country-specific interfaces.; Comment: Search engines...

An Innovative Approach for online Meta Search Engine Optimization

Manral, Jai; Hossain, Mohammed Alamgir
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 28/09/2015
Relevância na Pesquisa
46.52%
This paper presents an approach to identify efficient techniques used in Web Search Engine Optimization (SEO). Understanding SEO factors which can influence page ranking in search engine is significant for webmasters who wish to attract large number of users to their website. Different from previous relevant research, in this study we developed an intelligent Meta search engine which aggregates results from various search engines and ranks them based on several important SEO parameters. The research tries to establish that using more SEO parameters in ranking algorithms helps in retrieving better search results thus increasing user satisfaction. Initial results generated from Meta search engine outperformed existing search engines in terms of better retrieved search results with high precision.; Comment: The 6th Conference on Software, Knowledge, Information Management and Applications, Chengdu, China, September 9-11 2012, #57

FindZebra: A search engine for rare diseases

Dragusin, Radu; Petcu, Paula; Lioma, Christina; Larsen, Birger; Jørgensen, Henrik L.; Cox, Ingemar J.; Hansen, Lars Kai; Ingwersen, Peter; Winther, Ole
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 13/03/2013
Relevância na Pesquisa
46.49%
Background: The web has become a primary information resource about illnesses and treatments for both medical and non-medical users. Standard web search is by far the most common interface for such information. It is therefore of interest to find out how well web search engines work for diagnostic queries and what factors contribute to successes and failures. Among diseases, rare (or orphan) diseases represent an especially challenging and thus interesting class to diagnose as each is rare, diverse in symptoms and usually has scattered resources associated with it. Methods: We use an evaluation approach for web search engines for rare disease diagnosis which includes 56 real life diagnostic cases, state-of-the-art evaluation measures, and curated information resources. In addition, we introduce FindZebra, a specialized (vertical) rare disease search engine. FindZebra is powered by open source search technology and uses curated freely available online medical information. Results: FindZebra outperforms Google Search in both default setup and customised to the resources used by FindZebra. We extend FindZebra with specialized functionalities exploiting medical ontological information and UMLS medical concepts to demonstrate different ways of displaying the retrieved results to medical experts. Conclusions: Our results indicate that a specialized search engine can improve the diagnostic quality without compromising the ease of use of the currently widely popular web search engines. The proposed evaluation approach can be valuable for future development and benchmarking. The FindZebra search engine is available at http://www.findzebra.com/.

"openness of search engine": A critical flaw in search systems; a case study on google, yahoo and bing

Chakravarthy, Katuru SM Kalyana
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 02/03/2012
Relevância na Pesquisa
46.63%
There is no doubt that Search Engines are playing a great role in Internet usage. But all the top search engines Google, Yahoo and Bing are having a critical flaw called "Openness of a Search Engine". An Internet user should be allowed to get the search results only when requested through Search engine's web page but the user must not be allowed to get the search results when requested through any web page that does not belong to the Search Engine. Only results of a search engine should be available to the Internet user but not the Search Engine. This paper explains the critical flaw called "Openness of Search Engine" with a case study on top 3 search engines 'Google', 'Yahoo' and 'Bing'. This paper conducts an attack based test using J2EE framework and proves that 'Google' passed the test and it strongly protects its Critical Search System, where 'Yahoo' and 'Bing' are failed to protect their Search Engines. But previously 'Google' also had other high severity issues with the Openness of search engine; this paper reveals those issues also. Finally this paper appeals strongly to the all top Search Engines to fix their critical flaws of "Openness of Search Engine".

ODYS: A Massively-Parallel Search Engine Using a DB-IR Tightly-Integrated Parallel DBMS

Whang, Kyu-Young; Yun, Tae-Seob; Yeo, Yeon-Mi; Song, Il-Yeol; Kwon, Hyuk-Yoon; Kim, In-Joong
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 21/08/2012
Relevância na Pesquisa
46.54%
Recently, parallel search engines have been implemented based on scalable distributed file systems such as Google File System. However, we claim that building a massively-parallel search engine using a parallel DBMS can be an attractive alternative since it supports a higher-level (i.e., SQL-level) interface than that of a distributed file system for easy and less error-prone application development while providing scalability. In this paper, we propose a new approach of building a massively-parallel search engine using a DB-IR tightly-integrated parallel DBMS and demonstrate its commercial-level scalability and performance. In addition, we present a hybrid (i.e., analytic and experimental) performance model for the parallel search engine. We have built a five-node parallel search engine according to the proposed architecture using a DB-IR tightly-integrated DBMS. Through extensive experiments, we show the correctness of the model by comparing the projected output with the experimental results of the five-node engine. Our model demonstrates that ODYS is capable of handling 1 billion queries per day (81 queries/sec) for 30 billion web pages by using only 43,472 nodes with an average query response time of 211 ms, which is equivalent to or better than those of commercial search engines. We also show that...

Towards active seo (search engine optimization) 2.0

Boutet, Charles-Victor; Quoniam, Luc
Fonte: Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade Publicador: Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade
Tipo: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion; Formato: application/pdf
Publicado em 01/12/2012 ENG
Relevância na Pesquisa
56.28%
In the age of writable web, new skills and new practices are appearing. In an environment that allows everyone to communicate information globally, internet referencing (or SEO) is a strategic discipline that aims to generate visibility, internet traffic and a maximum exploitation of sites publications. Often misperceived as a fraud, SEO has evolved to be a facilitating tool for anyone who wishes to reference their website with search engines. In this article we show that it is possible to achieve the first rank in search results of keywords that are very competitive. We show methods that are quick, sustainable and legal; while applying the principles of active SEO 2.0. This article also clarifies some working functions of search engines, some advanced referencing techniques (that are completely ethical and legal) and we lay the foundations for an in depth reflection on the qualities and advantages of these techniques.

Effects of reputation and aesthetics on the credibility of search engine results

Christiansen, Bryan
Fonte: Rochester Instituto de Tecnologia Publicador: Rochester Instituto de Tecnologia
Tipo: Tese de Doutorado
EN_US
Relevância na Pesquisa
56.31%
Search engines are the primary gatekeepers of online information, but are judged differently than traditional gatekeepers due to the interactive and impersonal nature of the online search process. The researcher distributed an online survey with 141 respondents and conducted 22 observational interviews. Information credibility was tested through measures of expertise, goodwill, and trustworthiness, which were each correlated with perceived reputation and perceived aesthetics. Search engine reputation was found to have moderate correlations with expertise and trustworthiness, and a lesser, but still moderate correlation with goodwill. Aesthetics was related to the credibility measures in similar but lesser proportions. Interviews indicated search habits such as wariness towards commercial interests and the high impact of search intent on the rigor of credibility judgments.

Search engine bias: the structuration of traffic on the World-Wide Web

Van Couvering, Elizabeth
Fonte: London School of Economics and Political Science Thesis Publicador: London School of Economics and Political Science Thesis
Tipo: Thesis; NonPeerReviewed Formato: application/pdf
Publicado em //2010 EN
Relevância na Pesquisa
46.6%
Search engines are essential components of the World Wide Web; both commercially and in terms of everyday usage, their importance is hard to overstate. This thesis examines the question of why there is bias in search engine results – bias that invites users to click on links to large websites, commercial websites, websites based in certain countries, and websites written in certain languages. In this thesis, the historical development of the search engine industry is traced. Search engines first emerged as prototypical technological startups emanating from Silicon Valley, followed by the acquisition of search engine companies by major US media corporations and their development into portals. The subsequent development of pay-per-click advertising is central to the current industry structure, an oligarchy of virtually integrated companies managing networks of syndicated advertising and traffic distribution. The study also shows a global landscape in which search production is concentrated in and caters for large global advertising markets, leaving the rest of the world with patchy and uneven search results coverage. The analysis of interviews with senior search engine engineers indicates that issues of quality are addressed in terms of customer service and relevance in their discourse...

SEARCH ENGINE OPTIMIZATION - SEO: A CONTRIBUIÇÃO DO BIBLIOTECÁRIO NA OTIMIZAÇÃO DE WEBSITES PARA OS MECANISMOS DE BUSCA

Oliveira, Adriano Mendes de; Ferreira, Héber Terra; Casimiro, Valdir Assis; Santos, Cibele Araújo Camargo Marques dos
Fonte: Universidade Federal da Paraíba Publicador: Universidade Federal da Paraíba
Tipo: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion; "Memória de evento" Formato: application/pdf
Publicado em 22/10/2011 POR
Relevância na Pesquisa
66.3%
O artigo analisa a importância da aplicação dos procedimentos em Search Engine Optimization – SEO, fator que possibilita melhor posicionamento (ranking) dos websites nos mecanismos de busca da Web. Caracterizado como tendência na Internet, concentra seus esforços nas análises de conteúdo e no tratamento informacional. Destaca o procedimento de escolha e aplicação de palavras-chave para a representação do conteúdo eletrônico, uma das etapas da indexação utilizada pelos bibliotecários nos centros de informação tradicionais. Aborda a contribuição que o bibliotecário, como profissional da informação, pode oferecer nos aspectos que envolvem os procedimentos em SEO.

Comparative analysis of some search engines

Edosomwan,J; Edosomwan,TO
Fonte: South African Journal of Science Publicador: South African Journal of Science
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/12/2010 EN
Relevância na Pesquisa
56.46%
We compared the information retrieval performances of some popular search engines (namely, Google, Yahoo, AlltheWeb, Gigablast, Zworks and AltaVista and Bing/MSN) in response to a list of ten queries, varying in complexity. These queries were run on each search engine and the precision and response time of the retrieved results were recorded. The first ten documents on each retrieval output were evaluated as being 'relevant' or 'non-relevant' for evaluation of the search engine's precision. To evaluate response time, normalised recall ratios were calculated at various cut-off points for each query and search engine. This study shows that Google appears to be the best search engine in terms of both average precision (70%) and average response time (2 s). Gigablast and AlltheWeb performed the worst overall in this study.