Millions of people are using search engines every day when they are trying to find information on the Internet. The purpose of this report is to find out how people formulate search queries. The result in this report is based on an empirical study which is based on a search log from the Swedish search engine Seek.se.One of the results in this thesis is that nearly all search queries are based on keywords..

The purpose of this thesis is to examine how novices set about when they search for information. Marchionini's information-seeking model is the theoretical starting point, which is supplemented by theories of other specialists within the field, such as Chowdhury; Harter; Large, Tedd and Hartley. As method a questionnaire survey was used. The questionnaire was sent to 96 students at IHM Business School in Gothenburg and 57 questionnaires were returned. The results show among other things that the majority of the students used highly interactive search strategies, and they did not plan their search before they carried out the search.

The purpose of this paper has been to identify which modern search functions user of Smartphones are using, why just these functions are being used, and how they have affected the way users acquire information. Modern search functions in this paper means searches that are not based on text, i.e. ways to search for information by other means than writing something into a search field. To identify this, two studies were conducted, one with a questionnaire being distributed with the help of Google Docs through social networks, and one with four interviews with users of modern search functions for Smartphones. The study showed that even though 76 % of Smartphone users are aware of at least one modern search function, only 29% uses one on a regular basis.

The purpose of this thesis is to examine which factors influence librarians selection of electronic information sources, and to investigate whether librarians use of search strategies and search tactics changes depending on which information source they use. The electronic information sources are: online databases, Online Public Access Catalogues OPAC, World Wide Web, and CD-ROM databases. The theoretical framework is based on step 3 Select a source and step 4 Formulate a Query in Marchioninis information seeking model. The search strategies are divided into two categories: analytical and browsing strategies. In order to supplement the theoretical framework with empirical facts, 8 librarians were interviewed.

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.

The purpose of this thesis is to analyse studies that evaluate Web search engines. This is done in four categories; the researchers? purpose, the evaluation measurements, the relevance, and the time aspect. Our method is based on a text analysis in which we use the direction of analysis of the content of sixteen evaluation experiments. Our results indicate fundamental differences in the way the researchers are tackling the problem of evaluation of Web search engines.

The focus of the thesis is an Information search technique called manual query expansion, which aims to improve the retrieval per-formance in a search system by adding terms to the search query. The study looks at the query expansions done by LIS students, and the eventual beneficial effects by using a search help during the search process. The empirical data have been collected thro-ugh an experiment, with an experiment group as well as a control group. The conclusion is that the students need more education in query expansion in order to be able to use it correctly. There are significant differences between the groups in several aspects, for example in the use of search terms, parentheses, and truncation.

The purpose of this paper is to compare the three search engines Web of Science, Google Scholar and MEDLINE in regards of recovery efficiency and the overlap of relevant documents when it comes to Information searching for academic purposes. Furthermore, it raises the question whether freely available search engines and licensed search engines are interchangeable with each other. The empirical data in this study were collected through searches conducted in the three search engines Web of Science, Google Scholar and MEDLINE. Twenty search queries were used and the first twenty retrieved documents for each query were examined for relevance using previously designed criteria. The documents were scored by a binary relevancy scale and thereafter a precision value for each search engine was calculated.

This thesis is a case study of the search function on the University of Uppsala?s web site. The search function in this study was chosen since it exists on a large and complex web site and there were apparent lacks in the old version of the search function. The thesis highlights some of the problems that can appear in the development of a search function on a local site. One interesting find is that one of the most difficult issues is organizational and not technical.

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..

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..

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 Master?s thesis is to evaluate three general query-based web search engines. The search engines chosen are Google, Yahoo! and Live Search. The topics, which where transformed into twenty queries, are based on real users? information needs, taken from an ask-a-question service.

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 theses discuss information seeking with a focus on Google and social networks. Students attending the librarian program in Lund have been examined by means of two methods; diaries and information horizons, where they had to solve a specific assignment. The information horizon as a method contributes to getting a structural perspective on the Information search process instead of viewing Information search as a procedure. Information horizons use social network analysis.The aim of the theses is to investigate the importance of the social network in Information search, with a particular focus on Google as a search tool. Our hypothesis is that Google acts as a compensator to the social network when the students search for information and in the educational program.The research indicates that there is no direct correlation between usage of the social network and usage of Google.