Queries submitted to search engines rarely provide a complete and precise description of a user's information need. Most queries are ambiguous to some extent, having multiple interpretations. For example, the seemingly unambiguous query ``tennis lessons'' might be submitted by a user interested in attending classes in her neighborhood, seeking lessons for her child, looking for online videos lessons, or planning to start a business teaching tennis. Search engines face the challenging task of satisfying different groups of users having diverse information needs associated with a given query. One solution is to optimize ranking functions to satisfy diverse sets of information needs. Unfortunately, existing evaluation frameworks do not support such optimization. Instead, ranking functions are rewarded for satisfying the most likely intent associated with a given query. In this thesis, we propose a framework and associated evaluation metrics that are capable of optimizing ranking functions to satisfy diverse information needs. Our proposed measures explicitly reward those ranking functions capable of presenting the user with information that is novel with respect to previously viewed documents. Our measures reflects quality of a ranking function by taking into account its ability to satisfy diverse users submitting a query. Moreover, the task of identifying and establishing test frameworks to compare ranking functions on a web-scale can be tedious. One reason for this problem is the dynamic nature of the web, where documents are constantly added and updated, making it necessary for search engine developers to seek additional human assessments. Along with issues of novelty and diversity, we explore one approximate approach to compare different ranking functions by overcoming the problem of lacking complete human assessments. We demonstrate that our approach is capable of accurately sorting ranking functions based on their capability of satisfying diverse users, even in the face of incomplete human assessments.

This diploma thesis deals with the creation a web presentation of e-commerce of a firm. It includes descriptions and analysis of the specific subject. Also it contents suggestion of electronic commerce, which should contribute to a stable position of the firm in this market, to increase awareness among customers and ultimately to increase profits. Then it describes the problems related to implementation of e-commerce and economic evaluation of the proposal for electronic commerce.

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This paper proposes a cumulant based classification means to identify waveforms for a blind receiver in the presence of time varying channels, which is built from the work done on cumulants in static channels currently in the literature. Results show the classification accuracy is on the order or better than current methods in use in static channels that do not vary over an observation period. This is accomplished by making use of second through tenth order cumulants in a signature vector that the search engine platform has the means of differentiating. A receiver can then blindly identify waveforms accurately in the presence of multipath Rayleigh fading with AWGN noise. Channel learning occurs prior to classification in order to identify the consistent distortion pattern for a waveform that is observable in the signature vector. Then using a database look-up method, the observed waveform is identified as belonging to a particular cluster based on the observed signature vector. If the distortion patterns are collected from a variety of channel types, the database can then classify both the waveform and the rough channel type that the waveform passed through. If the exact channel model or channel parameters is known and used as a limiter, significant improvement on the waveform classification can be achieved. Greater accuracy comes from using the exact channel model as the limiter. / Master of Science

Le développement rapide du World Wide Web depuis les années 1990 a entraîné l'accroissement dunombre de sites web et l'intensification de la concurrence. Parallèlement, les moteurs de recherche ontjoué un rôle majeur en facilitant la recherche d'informations sur le web, au point de devenir une sourceinépuisable de trafic dont les propriétaires de sites web souhaitent profiter. Afin de capter un maximumde trafic qualifié, il est devenu nécessaire de se démarquer pour améliorer la visibilité d'un site web surles moteurs de recherche. Pour cela les propriétaires de sites web peuvent faire appel à des entreprisespratiquant le référencement web, et plus particulièrement le référencement naturel qui regroupel'ensemble des techniques d'optimisation permettant d'indexer et de positionner les pages d'un site webau plus haut niveau dans les résultats de recherche. L'activité de référencement web est conduite par leréférenceur qui, en optimisant un certain nombre de critères au sein du site web, améliore sonpositionnement. Mais les résultats obtenus sont incertains, car les algorithmes de classement desmoteurs de recherche sont en perpétuelle mutation. Dès lors, il est devenu nécessaire pour le référenceurd'avoir une meilleure maîtrise du processus de référencement web et d'être aidé dans ses prises dedécisions afin de satisfaire ses clients. Nos travaux de recherche ont permis d'apporter troiscontributions :- Établissement d'un cadre efficace pour l'activité de référencement à partir de la définition desdifférentes étapes du processus de référencement web en s'inspirant d'un méta-modèle d'ingénierie ;- Modélisation du processus de référencement web à partir d'un modèle d'agents afin de permettreune meilleure compréhension de son fonctionnement et de contrôler efficacement les différentesinteractions ;- Conception d'un système d'aide à la décision à partir de notre modèle d'agents servant desupport à l'activité de référencement web.Ces trois contributions majeures nous ont permis de répondre à notre problématique de recherche qui seproposait de répondre à la question suivante : « Comment concevoir le processus de référencement webpour améliorer sa maîtrise par le couple référenceur / client ? ». / The World Wide Web has quickly grown since the 90s, and it has led to an increase in the number ofwebsites and the intensification of the competition. In parallel, search engines have played a major roleby facilitating the research of information on the web, to the point of being an infinite source of traffic ofwhich websites' owners would like to take advantage. In order to capture the maximum of qualifiedtraffic, it has become necessary to stand out from the competitors to improve the visibility of a websiteon search engines. To do that, websites' owners can resort to firms which practice Search EngineOptimization (SEO). The latter gathers all the optimization techniques which make it possible to improvethe ranking of web pages at the highest rank in the search results. The activity of search engineoptimization is done by a SEO practitioner who, by optimizing some technical criteria, improves theranking of the website. But the obtained results are uncertain, because of the ever-changing rankingalgorithms of search engines. Consequently, it has become necessary for the SEO practitioner to have abetter mastery of the SEO process and to be helped in its decision makings in order to satisfy its clients.Our research works have allowed us to make three contributions:- Creation of an efficient structure for the SEO activity from the definition of the different steps ofthe SEO process and the use of an engineering meta-model;- Modeling of the SEO process by using a multi-agent system in order to enable a betterunderstanding of its functioning and to efficiently master its different interactions;- Design of a decision support system thanks to our agent-based model to support the SEOa c t i v i t y .These three main contributions enabled us to answer our research question which was: "How to designthe search engine optimization process in order to improve its mastery by the SEO practitioner and theclient ?"

SEO - Search Engine Optimization, determine ways and methods to create a web page so that search engine can incorporate it into the search results. Its great advantage is the durability of results and it results to high return of an investment. This work talks about the basic and most important SEO parameters. It propose which parameters are most important to be tested and best way of testing. Most of publishers often do not know that their sites are in terms of SEO totally inaccessible. With portal they can make their sites quickly and easily tested and find out where are their main weaknesses. When parameter has been tested SEO Portal determines how to correct errors. An important feature of portal is simplicity. After entering the address of the site they can see clearly arranged results.

Abstract   Title: Search Engine Marketing in SMEs Level: Final assignment for Bachelor Degree in Business Administration Authors: Kamilla Fahlström & Caroline Jensen Supervisor: Jens Eklinder Frick Date: 2016 January Purpose: The purpose of this study is to use Expectancy theory to describe and analyze small company owners’ motivations for their usage of Search Engine Marketing, in terms of their perceived Valence, Expectancy and Instrumentality. Method: To research the aim of this study a qualitative research approach was used. The empirical data was compiled through ten semi-structured interviews from a varied selection of Swedish companies in the service sector. The data was analyzed with previous research to create an understanding of the motivations for using Search Engine Marketing. Conclusions: The result of this study, when analyzed alongside Expectancy theory, indicates that small business owners are motivated to use Search Engine Marketing. Furthermore, which method of Search Engine Marketing that the owners are motivated to use is dependent on their perceptions of the different methods. Future research: Due to the lack of research into the attitudinal and psychological aspects of Search Engine Marketing and the limitations of this study, it would be interesting if more research were done into this area. For example, it would be interesting to study if trust-based companies are motivated to use Search Engine Marketing, and if demographics affect the motivations. Contribution: This study contributes with results on a previously unexplored area within the research field of Search Engine Marketing. The study also contribute with some information to practice regarding small service company owners’ thoughts about their usage of Search Engine Marketing.  Key words: Search Engine Marketing, SMEs, Expectancy theory, Motivation, Website visibility

The Semantic Web project has introduced new techniques for managing information. Data can now be organised more efficiently and in such a way that computers can take advantage of the relationships that characterise the given input to present more relevant output. Semantic Web based search engines can quickly educe exactly what is needed to be found and retrieve it while avoiding information overload. Up until now, search engines have interacted with their users by asking them to look for words and phrases. We propose the creation of a new generation Semantic Web search engine that will offer a visual interface for queries and results. To create such an engine, information input must be viewed not merely as keywords, but as specific concepts and objects which are all part of the same universal system. To make the manipulation of the interconnected visual objects simpler and more natural, 3D graphics are utilised, based on the X3D Web standard, allowing users to semantically synthesise their queries faster and in a more logical way, both for them and the computer.

Dagens snabba digitaliseringstakt driver stora förändringar i konsumenters sätt att handla. Allt fler använder internet och sökmotorer vid handel och e-handelstjänster har blivit allt mer beroende av sökmotorer samt deras placering hos dessa. Optimering av e-handelswebbsidor utgör numera en högst relevant aspekt för sidtrafik, men sökmotorer lämnar ut begränsad information om hur sökranking påverkas av olika typer av optimeringsinsatser. Med bakgrund av detta studeras i denna rapport hur en e-handelstjänsts, brewinabox.se, sökranking hos sökmotorn Google påverkas av de tre SEO-faktorerna laddningshastighet, nyckelordsdensitet och sidstruktur, och undersöker således hur man kan optimera dessa. I studien testas olika versioner av e-handelstjänsten med varierande inställningar för de tre SEO-faktorerna, mot sökranking hos Google. Testerna visade inga tydliga tendenser och kunde inte bekräfta de teorier och metoder som litteraturen rekommenderade för varje individuell faktor. De vaga resultaten kan bero på otillräckliga tester med många möjliga felkällor, speciellt gällande Googles indexeringsprocess. Slutligen implementerades en sista version av brewinabox.se med rekommendationer gällande de tre faktorerna och ett klart positivt resultat av sökmotoroptimeringen noterades. / The rapid pace of digitization in this day and age drives major changes in consumer buying behaviour. More and more consumers make use of the internet and search engines when making purchases. E-commerce services have thus become increasingly dependent on search engines, and on their ranking on them. Optimization of e-commerce websites are a highly relevant aspect for website traffic, however, little information on how different types of SEO-optimization techniques affect page ranking is disclosed by search engine companies. In this context, this study is conducted in order to assess how an e-commerce, brewinabox.se, website's page ranking is affected by three ranking factors: page speed, keyword density and site structure. It illustrates how to optimize with respect to these ranking factors. The study tests different versions of the e-commerce web application with different adjustments of the ranking factors, in relation to page rank. The tests did not show any clear results, and they could not confirm the theories and methods suggested by common literature for each factor. The weak results might depend on insufficient tests with many possible errors, especially concerning the indexing process of Google. Ultimately, a final version of the web application was implemented using the recommendations and a clearly positive result of the search engine optimization was noted.

<p>E-commerce combines web technology with business economics. As of the last 10 years, online visibility for such online enterprises now heavily rely on the relationship between the own online sales platform and Search Engines for improved traffic consisting of presumable customers with the intent of acquiring products or services related to the customers’ needs. In 2008 an Internet behavioural analysis showed that over 90% percent of Swedish internet users make use of search engines at least once a week, stating that online visibility through the use of search engines now is a crucial business marketing aspect. To improve the relationship between online e-commercial platforms and search engines several applications exists within the technical field of Online Marketing – one being Search Engine Optimization (SEO),</p><p>As a subset of Online Marketing, SEO consists mainly of three subareas; Organic Search Engine Optimization (Organic SEO), Search Engine Marketing (SEM) and Social Media Optimization (SMO). The true nature of how Search Engines operate to crawl and index web contents are hidden behind business secrets owned by the individual search engines operating online, leaving SEO auditors and operators to systematically “try-and-error” test for optimal settings.</p><p>The first part of this thesis unfolds the SEO theory obtained from online sources, acclaimed literature and articles to discover settings in which SEO auditors and operator may use as tools to improve online visibility and accessibility on live websites to search engines. The second part sets on forming a theory driven work model (called the “PS Model”) to systematically work with SEO; structure for implementations and ways to measure the improvements.</p><p>Third part of the thesis evaluates the PS model using a case study where the model is implemented upon. The case study uses a website (in this thesis referred to as “BMG”) owned by a company active in the biotechnological research and development field situated in Sweden (in this thesis referred to as “BSG”), which at the start of January 2010 was in need of SEO improvements as the relationship between the search engine Google had somewhat stagnated leaving several vital documents outside of Google’s indexing and the relevancy between performed search quires and site-wide keywords had been lowered.</p><p>The focus of this thesis reside on bringing forth a work model taking in essential parts of SEO (Organic SEO, SEM and SMO), implementing it on the BMG platform to improve the website’s online visibility and accessibility to search engines (mainly focusing on Google), thus enhancing and solving the stagnated situation identified as such in January 2010 by the BMG site-owners – consequently validating the PS Model. In May 2010 it was shown that the PS model did improve site-wide indexing at Google and search queries containing the main set of keywords in use of BMG was improved in terms of relevancy (higher placing on search result pages).</p>