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.

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 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.

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 paper is a comparing study of the retrieval effectiveness of the search engines Google, Google Scholar and Scirus. The aim is to find out how good they are at retrieving relevant academic material in the research-field of Library and Information science. The thirty search questions where based on actual information needs collected from exams within the field of Library and Information Science. This method was used to prevent that none of the search engines were given an advantage because of construction of the information needs. The first twenty retrieved documents on the retrieval lists are examined for academic content and relevance.

This is a master thesis from Uppsala University in collaboration with B Locket AB (more known as www.blocket.se). B Locket AB is a large ad-company from Sweden, located in Stockholm.Search engines on the market today are becoming more and more complex. When they were first introduced, they only had one function and that was to produce search results containing the string that the user had typed. Today, users want it to be able to spellcheck, produce more results and sort search results on specific fields as well. Preferably, all these features should not affect the performance as a whole.The reason to why these demands have come up is that users are getting more and more used to internet services as a whole and they want everything to be as easy as possible.The user ability has become a substantially more important area in the computer industry and this needs to be taken into account when it comes to B Locket AB and its search engine.

This is a master thesis from Uppsala University in collaboration with B Locket AB (more known as www.blocket.se). B Locket AB is a large ad-company from Sweden, located in Stockholm.Search engines on the market today are becoming more and more complex. When they were first introduced, they only had one function and that was to produce search results containing the string that the user had typed. Today, users want it to be able to spellcheck, produce more results and sort search results on specific fields as well. Preferably, all these features should not affect the performance as a whole.The reason to why these demands have come up is that users are getting more and more used to internet services as a whole and they want everything to be as easy as possible.The user ability has become a substantially more important area in the computer industry and this needs to be taken into account when it comes to B Locket AB and its search engine.

The aim of this thesis is to describe and critically investigate eight different evaluations of the retrieval effectiveness of webbased search engines. The questions to be answered in this investigation are: - What kind of relevance judgements have been used? - Which criteria have been used when judging the relevance of a document? - Which measures have been used? - How many queries have been used? - How were the queries constructed? - What document cut-off value has been used? - Has hypothes testing been applied? - What kind of webbased search engines have been included in the evaluations? The study showed that although the evaluations investigate the same phenomena, they are very different from each other in certain aspects. Generally the study showed that precision is the preferred measure in comparison to recall in the chosen evaluation even though all the included evaluations have constructed unique formulas for calculating precision. Some attempts to measure relative recall have been performed but they all suffer from different defects.

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.

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 shows the result from investigations of methods that use distance vectors when matching pictures. The distance vectors are available in a distance map made by the Euclidean Distance Transform. The investigated methods use the two characteristic features of the distance vector when matching pictures, length and direction. The length of the vector is used to calculate a value of how good a match is and the direction of the vector is used to predict a transformation to get a better match. The results shows that the number of calculation steps that are used during a search can be reduced compared to matching methods that only uses the distance during the matching..

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..