This essay explores to what extent the Swedish language version of Google Images meets the usability requirements of average everyday users. Previously published studies on user behaviour and users? interface and search option preferences define the usability requirements, which are matched against Google Images? actual interface and search options. The retrieval method of Google Images is also briefly discussed, and users? opinions about Google Images too, as they come across in the previously published user studies.The findings are that Google Images lack some of the things that users ask for, but it still seems to be the most used image search engine among average internet users and more appreciated than other search engines.

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.

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 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 paper is a literature study on search engine optimization (SEO) considering the leader of the search engine market: Google. There´s an introductory background description of Google and its methods of  crawling the Internet and indexing the web pages, along with a brief review of the famous PageRank algorithm. The purpose of this paper is to describe the major important methods for improved rankings on Google´s result lists. These methods could be categorized as on-page methods tied to the website to be optimized or off-page methods that are external to the website such as link development. Furthermore the most common unethical methods are described, known as ?black hat?, which is the secondary purpose of the text.

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.

The purpose of this Bachelor thesis is to analyze if there is a correlation between stock prices and the amount of searches of the companies names on Google. The theories used in the study were Capital Asset Pricing Model (CAPM) and Efficient Market Hypothesis (EMH). Regressions analysis is used as the statistical method to see if there is a significant correlation between the stock prices and the amout of searches of the company name on Google. The data used were the rate of return of three companies (ABB, Oriflame and Sandvik) on the Nasdaq OMX Nordic stock market, the rate of return of the Nasdaq OMX Nordic stock market index (OMX Stockholm_PI) and the Google search frequency from Google Trends on each company. The result showed no significance and the conclusion of the thesis is that there is no significant correlation between the three studied companies and their search frequency on the search engine Google..

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.

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 purpose of this thesis is to evaluate and compare the retrieval effectiveness of two search engines on the Internet: Svensk Medicin and Google Scholar. Svensk Medicin is a medicine-specific search engine and Google Scholar specialises in indexing scholarly material. A set of 20 questions in four categories were used to conduct the searches with the search engines. Genuine medical information needs were selected from a question collection provided by the television program Fråga doktorn. The relevance of the first 10 retrieved documents was judged by using a binary scale and the measure used was precision.

The wide spread of the Internet and new information technologies in recent years has come to effect how libraries manage and disseminate information. Search engines like Google are widely used by people who often find the information retrieval systems of libraries to be too complicated. In 2004 Google announced plans to digitise five major library collections. Organisations representing the publishing industry and authors have since then filed lawsuits against Google claiming that Googles scanning of library books infringe the rights holders copyright. Due to Googles potential impact on libraries this thesis aims to examine how Googles digitisation project, Google Book Search, has been received in the library community.

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 web is getting more and more characterized by personalization. Big socialnetworks like Facebook as well as the leading search engine Google increasingly usepersonalization algorithms to tailor the information that they present to users. All inorder to make the information more relevant and engaging for the end consumer. Howdoes this personalization affect journalists who increasingly search the web as a partof their journalistic research? In this essay we have looked at the effects thatpersonalization has on the journalists of tomorrow by conducting a survey amongstudents of journalism.

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.

On March 1, 2012, Google introduced its new privacy policy which is applicable to all Google services. This means that search history may be saved by Google indefinitely and may also be associated with the specific account during the first 18 months. We assume that few people read this policy and we have hypotheses that a deeper knowledge of the contents of the privacy policy affects how users perceive Google as a company and/or the usage of Google services. In this study, we have conducted surveys at the IT University of Gothenburg, to investigate how many participants that have read or possess some knowledge of the privacy policy. We have found that very few participants claim to have read the privacy policy.