The increasing reliance of people on computers for daily tasks has resulted in a vast number of digital documents. Search engines were once luxury tools for quickly scanning a set of documents but are now quickly becoming the only practical way to navigate through this sea of information. Traditionally, search engine results are based upon a mathematical formula of document relevance to a search phrase. Often, however, what a user deems to be relevant and what a search engine computes as relevant are not the same. User feedback regarding the utility of a search result can be collected in order to refine query results. Additionally, user feedback can be used to identify queries that lack high quality search results. A content author can then further develop existing content or create new content to improve those search results. The most straightforward way of collecting user feedback is to add a graphical user interface component to the search interface that asks the user how much he or she liked the search result. However, if the feedback mechanism requires the user to provide feedback before he or she can progress further with his or her search, the user may become annoyed and provide incorrect feedback values out of spite. Conversely, if the feedback mechanism does not require the user to provide feedback at all then the overall amount of collected feedback will be diminished as many users will not expend the effort required to give feedback. This research focused on the collection of explicit user feedback in both mandatory (a user must give feedback) and voluntary (a user may give feedback) scenarios. The collected data was used to train a set of decision tree classifiers that provided user satisfaction values as a function of implicit user behavior and a set of search terms. The results of our study indicate that a more accurate classifier can be built from explicit data collected in a voluntary scenario. Given a limited search domain, the classification accuracy can be further improved.

Diese Dissertation beschreibt das Design und die Implementierung eines effizienten Suchsystems für linguistische Korpora. Das bestehende und auf einer relationalen Datenbank basierende System ANNIS ist spezialisiert darin, Korpora mit verschiedenen Arten von Annotationen zu unterstützen und nutzt Graphen als einheitliche Repräsentation der verschiedener Annotationen. Für diese Dissertation wurde eine Hauptspeicher-Datenbank, die rein auf Graphen basiert, als Nachfolger für ANNIS entwickelt. Die Korpora werden in Kantenkomponenten partitioniert und für verschiedene Typen von Subgraphen werden unterschiedliche Implementationen zur Darstellung und Suche in diesen Komponenten genutzt. Operationen der Anfragesprache AQL (ANNIS Query Language) werden als Kombination von Erreichbarkeitsanfragen auf diesen verschiedenen Komponenten implementiert und jede Implementierung hat optimierte Funktionen für diese Art von Anfragen. Dieser Ansatz nutzt die verschiedenen Strukturen der unterschiedlichen Annotationsarten aus, ohne die einheitliche Darstellung als Graph zu verlieren. Zusätzliche Optimierungen, wie die parallele Ausführung von Teilen der Anfragen, wurden ebenfalls implementiert und evaluiert. Da AQL eine bestehende Implementierung besitzt und diese für Forscher offen als webbasierter Service zu Verfügung steht, konnten echte AQL-Anfragen aufgenommen werden. Diese dienten als Grundlage für einen Benchmark der neuen Implementierung. Mehr als 4000 Anfragen über 18 Korpora wurden zu einem realistischen Workload zusammengetragen, der sehr unterschiedliche Arten von Korpora und Anfragen mit einem breitem Spektrum von Komplexität enthält. Die neue graphbasierte Implementierung wurde mit der existierenden, die eine relationale Datenbank nutzt, verglichen. Sie führt den Anfragen im Workload im Vergleich ~10 schneller aus und die Experimente zeigen auch, dass die verschiedenen Implementierungen für die Kantenkomponenten daran einen großen Anteil haben. / This dissertation describes the design and implementation of an efficient system for linguistic corpus queries. The existing system ANNIS is based on a relational database and is focused on providing support for corpora with very different kinds of annotations and uses graphs as unified representations of the different annotations. For this dissertation, a main memory and solely graph-based successor of ANNIS has been developed. Corpora are divided into edge components and different implementations for representation and search of these components are used for different types of subgraphs. AQL operations are interpreted as a set of reachability queries on the different components and each component implementation has optimized functions for this type of queries. This approach allows exploiting the different structures of the different kinds of annotations without losing the common representation as a graph. Additional optimizations, like parallel executions of parts of the query, are also implemented and evaluated. Since AQL has an existing implementation and is already provided as a web-based service for researchers, real-life AQL queries have been recorded and thus can be used as a base for benchmarking the new implementation. More than 4000 queries from 18 corpora (from which most are available under an open-access license) have been compiled into a realistic workload that includes very different types of corpora and queries with a wide range of complexity. The new graph-based implementation was compared against the existing one, which uses a relational database. It executes the workload ~10 faster than the baseline and experiments show that the different graph storage implementations had a major effect in this improvement.

This study sets out to explore and test the application of narrative and personification to the interface design and user experience of a search engine. The motivational and collaborative aspects of a search agent narrative will be examined and tested as a technique for increasing the volume and quality of data submitted to an open-content search engine by its users.

<p>Purpose/Aim: The purpose of this study was to investigate future marketing channels from the perspective of professional marketers.</p><p>Material/Method: The study is based upon interviews with six professional marketers.</p><p>Main results: Traditional marketing is not being put aside but needs to be combined with new methods. There are several new and exciting ways to gain attention from the audience, all depending on the purpose of the campaign. Mobile technology is considered upcoming and target group defining is a key issue.</p>

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Purpose/Aim: The purpose of this study was to investigate future marketing channels from the perspective of professional marketers. Material/Method: The study is based upon interviews with six professional marketers. Main results: Traditional marketing is not being put aside but needs to be combined with new methods. There are several new and exciting ways to gain attention from the audience, all depending on the purpose of the campaign. Mobile technology is considered upcoming and target group defining is a key issue.

This paper closely examines Internet advertising techniques and tools which can be used to promote new product at the market. Goal of the thesis is to measure marketing campaign effectiveness and optimize advertising campaigns. Relevant KPIs were chosen to create evaluation matrices, identify successful advertising channels and create efficient internet marketing mix. Advertising activities described in the thesis helped Czech company to increase sales on the Internet. Practical part of the thesis describes process of introducing new product on the Czech market. In the initial stage several analyses were done to identify market conditions, competition and ideal consumer. Based on the results ¡V market entry strategy and web development plan were created. Internet e-shop and other supportive web pages were developed with aim to sell products through Internet channel. Websites follows best practice for web presentation design, search engine optimization and web audience measurement. During the project history several marketing campaigns were launched and the results were monitored using Google Analytics software. Selected marketing activities were closely examined. Concepts of Search engine optimization, POEM media, and Pay Per Click (PPC) advertising were used as field experiments. Partial results of each field experiment as well as overall results of all marketing activities are summarized in the conclusion. The thesis presents a comprehensive overview of the marketing tools and channels at the Czech market. Paper also summarizes best practices for website development and content optimization for visitors and search engines. Comparison of advertising activities in different channels within three PPC advertising networks helps to define PPC advertising strategy for Czech market. Based on the findings - optimized Internet marketing mix was created with aim to increase marketing campaigns effectiveness. Suggestions for optimization of website¡¦s content and recommendation for next marketing activities were summarized with aim to help company for future project development.

Estudo analisa questões de organização e recuperação de informação em repositórios de jornais on-line. Destaca aspectos do suporte hipermídia, estrutura informativa do documento digital e gênero do conteúdo da informação jornalística on-line; aborda a noção de memória como atributo de ativação e conexão de informações no contexto da Web; descreve a estrutura básica de mecanismos de busca e traça o perfil de jornalistas no âmbito da convergência digital. Para investigar potenciais dificuldades de pesquisa e recuperação de informação, adota-se pesquisa exploratória para inspeção das interfaces similares de mecanismos de busca de jornais selecionados, nacionais e estrangeiros, e questionário on-line para identificar a percepção de usuários especialistas, jornalistas, sobre o uso de mecanismos de busca interna na rotina de trabalho. Como resultado, discute-se sensibilidades dos atributos de pesquisa, padrões técnicos de tratamento da informação, carências do processo de pesquisa e fatores de satisfação para recuperação de informação em ambiente digital. / Study examines issues of organization and information retrieval in online newspapers\' repositories. Highlights aspects of hypermedia, informative structure of the digital document and some genres of the online journalistic information; It addresses the concept of memory as attribute of activation and connection of information in the Web context; It describes the basic structure of search engines and traces the journalists\' profile within the aspect of digital convergence. To investigate potential difficulties of search and information retrieval, exploratory research is adopted to inspect similar interfaces of search engine, in national and foreign selected newspapers; in addition, an online questionnaire is used to identify the perception of expert users about the use internal search engines, based on the work routine of journalists. As a result of these investigations, study shows some sensitivities of search attributes, standards of information processing, research process and satisfaction factors for information retrieval in digital context.

Made available in DSpace on 2015-04-11T14:03:17Z (GMT). No. of bitstreams: 1 DISSERTACAO JUCIMAR.pdf: 1288048 bytes, checksum: eec502380e9a7d5716cd68993d6cab40 (MD5) Previous issue date: 2009-04-23 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Search engines have become an essential tool for web users today. They use algorithms to analyze the linkage relationships of the pages in order to estimate popularity for each page, taking each link as a vote of quality for pages. This information is used in the search engine ranking algorithms. However, a large amount of links found on the Web can not be considered as a good vote for quality, presenting information that can be considered as noise for search engine ranking algorithms. This work aims to detect noises in the structure of links that exist in search engine collections. We studied the impact of the methods developed here for detection of noisy links, considering scenarios in which the reputation of pages is calculated using Pagerank and Indegree algorithms. The results of the experiments showed improvement up to 68.33% in metric Mean Reciprocal Rank (MRR) for navigational queries and up to 35.36% for randomly selected navigational queries. / Máquinas de busca têm se tornado uma ferramenta imprescindível para os usuários da Web. Elas utilizam algoritmos de análise de apontadores para explorar a estrutura dos apontadores da Web para atribuir uma estimativa de popularidade a cada página. Essa informação é usada na ordenação da lista de respostas dada por máquinas de busca a consultas submetidas por seus usuários. Contudo, alguns tipos de apontadores prejudicam a qualidade da estimativa de popularidade por apresentar informação ruidosa, podendo assim afetar negativamente a qualidade de respostas providas por máquinas de busca a seus usuários. Exemplos de tais apontadores incluem apontadores repetidos, apontadores resultantes da duplicação de páginas, SPAM, dentre outros. Esse trabalho tem como objetivo detectar ruídos na estrutura dos apontadores existentes em base de dados de máquinas de busca. Foi estudado o impacto dos métodos aqui desenvolvidos para detecção de apontadores ruidosos, considerando cenários nos quais a reputação das páginas é calculada tanto com o algoritmos Pagerank quanto com o algoritmo Indegree. Os resultados dos experimentos apresentaram melhoria de até 68,33% na métrica Mean Reciprocal Rank (MRR) para consultas navegacionais e de até 35,36% para as consultas navegacionais aleatórias quando uma máquina de busca utiliza o algoritmo Pagerank.

A single-page application is a website that retrieves all needed components in one single page load. The intention is to get a user experience that reminds more of a native appli- cation rather than a website. Single-page applications written in Javascript are becoming more and more popular, but when the size of the applications grows the complexity is also increased. A good architecture or a suitable framework is therefore needed. The thesis begins by analyzing a number of design patterns suitable for applications containing a graphical user interface. Based on a composition of these design patterns, an architecture that targets single-page applications was designed. The architecture was designed to make applications easy to develop, test and maintain. Initial loading time, data synchronization and search engine optimizations were also important aspects that were considered. A framework based on the architecture was implemented, tested and compared against other frameworks available on the market. The framework that was implemented was designed to be modular, supports routing and templates as well as a number of different drivers for communicating with a server-side database. The modules were designed with a variant of the pattern Model-View-Controller (MVC), where a presentation model was introduced between the controller and the view. This allows unit tests to bypass the user interface and instead communicate directly with the core of the application. After minification and compression, the size of the framework is only 14.7 kB including all its dependencies. This results in a low initial loading time. Finally, a solution that allows a Javascript application to be indexed by a search engine is presented. It is based on PhantomJS in order to produce a static snapshot that can be served to the search engines. The solution is fast, scalable and easy to maintain.