EPiServer is a content management system where users can publish information on a website by using a web browser. EPiServer has a built-in search engine that is very simple. Many customers using EPiServer web publishing system is in need of more functionality than is offered by EPiServer's built-in search engine. The purpose of this thesis is to develop additional functionality extends that the built-in search engine in EPiServer. The assignment was also to identify what need to be developed in order to give customers a better  opportunity to help their visitors find the right information on their website.Since this thesis was started in 2005, a number of commercial search engine productsentered  the market and it has become more common for companies to invest inthese products instead of using the simple search engine that's built into EPiServer.These products have many of the features that have been developed in this thesis.Another crucial difference between EPiServer?s built in engine and other products isthe method used to index content.

The purpose of this masters thesis is to evaluate the retrieval effectiveness of three different search engines on the Internet: Google, Yahoo! and MSN Search. We have constructed 25 topics and queries with varying contents, in order to test the width of the search engines as much as possible. In every search we have evaluated the first 20 hits in each of the search engines. The measures we have used are precision and cumulated gain. Precision is based on a binary scale and cumulated gain is calculated by means of a non-binary relevance scale.

This thesis evaluates and compares the retrieval effectiveness of the two search engines Google Scholar and Scirus, which both specialises in indexing scholarly material on the web as well as journal articles. Thirty search queries are used and the first twenty retrieved documents for each query are examined for topical relevance and scholarly content. The search queries are based on legitimate information needs taken from a scientific questionbox on the web. Queries are expressed with advanced search operators and are the same for both search engines. Precise relevance criteria are set up and a binary scale is used when judging.

This thesis examines the retrieval effectiveness of two Web search engines. The two search engines are chosen to represent two different types Google as a broad general search engine and Dogpile as a broad general metasearcher. Twenty queries have been used and the first twenty hits for each query were evaluated for relevance. The queries were invented by the authors, based upon their interests and information needs. They were expressed in a general manner, by using one or several keywords, in accordance with the simple search mode available for each search engine.

AbstractThis study examines the technologies appropriate in developing back-and solutions for search-driven user interfaces of e-commerce sites. The study is based on existing research in search-driven user interfaces of e-commerce sites from a design point of view, but instead the focus of this study lies within a back-end perspective. This choice of focus is a result of the gap that was encountered within research and other literature when it comes to general advice in how e-commerce sites best should build back-end solutions to support search driven user interfaces. The technologies that have been examined and compared are traditional relational databse management systems (RDMS) and the newer so called No-SQL database management systems, and also traditional search engines and the newer variant s of search engines. The study concludes that in some cases it is appropriate to combine traditional and newer technologies when it comes to databases, while the comparison of search engines indicates that there are some newer search en gines that have the ability to meet more of the needs that can be identified on the back-end solutions.Primary data consists of interviews made ?face to face? with experts on the subject and questionnaires addressed to selected e-commerce companies via e-mail.

The purpose of this thesis is to evaluate three search engines with regard to retrieval effectiveness of information specific to Swedish users. Coverage and the precision in result descriptions are also examined. The three selected search engines are Google, MSN Search and Svesök. 30 queries were tested against the search engines and the first 20 result descriptions and results were judged for relevancy. Relevancy was judged by a binary scale.

The Center for Genomics and Bioinformatics (CGB) is an academic department at Karolinska Institute. Generally stated, the CGB department is committed to the generation and management of genetic information by approaches aiming at elucidating the connection between genes, protein and function.WiGID is a genome information database that is available through WAP (Wireless Application Protocol).Our version of WiGID is based on WML, PHP and PostgreSQL as a database server.One of the changes on the old WiGID application was the creation of a relational database with seven tables and one view, instead of the file that represented the database on the old version. We also changed the script language from python to PHP.The search engine ability has been extended with three new search alternatives for a user to choose from. Each choice leads to other, sometimes multiple choices.A GUI has been created for the administrator, to be able to insert information into the database.The structure of the search engine is primarily for narrowing down the search result on the phone display, thereby making the search efficient..

This thesis is focusing on how global and local search engines retrieve information from the local domain. The three search engines tested are the global search engines Yahoo, Ask.com and the local search engine Web Wombat. The questions we examined were: which search engine has the best retrieval effectiveness? Could there be other reasons than retrieval effectiveness, to choosing a local search engine?For our test we constructed 20 questions related to Australia.We chose to divide the questions into topics like nature, sports and culture. For all questions we evaluated the relevance of the first 20 hits.

The purpose of this thesis is to evaluate three web-based search engines and compare the 10 first retrieved documents. We used the search engines Google, Yahoo! and Exalead. The evaluation is based upon 20 topics with strong polarized opinions and these have been derived from Swedish media and every day life. From these topics we have constructed the 20 queries used for searching. The 10 first documents are each placed in four different categories, For, Against, Neutral or Irrelevant.

This thesis was built on a practical work for LM Ericsson Data AB and deals with how toexamine an information need for a limited department within the corporation using aqualitative interview method.The thesis deals with how to search for requested information on the Internet and the WorldWide Web (WWW). It contains a model and a method for evaluation of search engines onthe World Wide Web, and 16 search engines which primarily indexes the World Wide Webare being evaluated..

Mothers of small children often work part-time in Sweden. Since old age pensions are based on lifetime income, part-time work leads to lower pensions, as long as there is no compensation from non-actuarial benefits such as minimum pensions. In this paper, I investigate whether different components of the Swedish pension system provide incentives for part-time work among women. The analysis is performed through a simulation of future pensions for 9 typical women in a certain cohort. For three levels of education, I compare pensions of women with different labor market participation rates in different growth scenarios.

The web has made an incredible amount of unorganized information available to anyone. There are search engines that help us structuring the information, but it is still difficult to find what you search for on the web. The purpose of this master's thesis is to investigate whether the already existing techniques for automatic indexing are suited for the new information retrieval context on the web and how the choice to support these techniques, or not, affects the search results. This is examined through a literature study on automatic indexing and other related concepts, such as information retrieval and information searching on the web in order to get a theoretical frame to the work and by an observation of the search engine HotBot to approach the purpose of the thesis. The observation is carried out by searching HotBot's database and investigating the search results in order to try to identify patterns that can reveal something about how HotBot's automatic indexing is done.

Throughout this thesis three main factors have been identified that can be out of significance for transfer pricing in multinational companies if the proposal for Home State Taxation is adopted. These factors are rules for calculation of the tax base, rules for dividing costs over periods and the tax rate. The formula for sharing profits will also become a factor that can have an impact on the European companies'incentives for transfer pricing interacting with above-mentioned factors. The effects of transfer pricing aiming at reducing the total amount of the taxation burden for a group of companies will be strongly reduced in the future if the proposal is adopted. Incentives for transfer pricing will loose importance, though not disappear altogether.

The purpose of this essay is to perform an evaluation regarding retrieval performance of three web search engines. The search engines included are All the Web, Alta Vista and Google. These have been tested using ten queries within different subject areas chosen by the author. The first twenty hits for each question have been analyzed for relevancy. Relevancy is judged on a three-point scale; 0, 0,5 and 1 where 0 goes to irrelevant and inactive or duplicate documents, 0,5 point goes to partially relevant documents and 1 point goes to highly relevant documents.

The theoretical focus in this master is information retrieval (IR), and especially the part of IR that includes interactivity. This research is by some researchers called IIR. Our principal aim was to examine if search engines on the WWW are taking advantage of research results from IIR research. A way to do this is to look at the application of special features, in this case query expansion (QE) and relevance feedback (RF). Both these methods aim for a better matching of documents and the searchers information need.