Search (260 results, page 13 of 13)

  • × theme_ss:"Suchtaktik"
  1. Drabenstott, K.M.: Web search strategies (2000) 0.00 
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    Abstract
    Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.
    Imprint
    Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
  2. Kajanan, S.; Bao, Y.; Datta, A.; VanderMeer, D.; Dutta, K.: Efficient automatic search query formulation using phrase-level analysis (2014) 0.00 
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    Abstract
    Over the past decade, the volume of information available digitally over the Internet has grown enormously. Technical developments in the area of search, such as Google's Page Rank algorithm, have proved so good at serving relevant results that Internet search has become integrated into daily human activity. One can endlessly explore topics of interest simply by querying and reading through the resulting links. Yet, although search engines are well known for providing relevant results based on users' queries, users do not always receive the results they are looking for. Google's Director of Research describes clickstream evidence of frustrated users repeatedly reformulating queries and searching through page after page of results. Given the general quality of search engine results, one must consider the possibility that the frustrated user's query is not effective; that is, it does not describe the essence of the user's interest. Indeed, extensive research into human search behavior has found that humans are not very effective at formulating good search queries that describe what they are interested in. Ideally, the user should simply point to a portion of text that sparked the user's interest, and a system should automatically formulate a search query that captures the essence of the text. In this paper, we describe an implemented system that provides this capability. We first describe how our work differs from existing work in automatic query formulation, and propose a new method for improved quantification of the relevance of candidate search terms drawn from input text using phrase-level analysis. We then propose an implementable method designed to provide relevant queries based on a user's text input. We demonstrate the quality of our results and performance of our system through experimental studies. Our results demonstrate that our system produces relevant search terms with roughly two-thirds precision and recall compared to search terms selected by experts, and that typical users find significantly more relevant results (31% more relevant) more quickly (64% faster) using our system than self-formulated search queries. Further, we show that our implementation can scale to request loads of up to 10 requests per second within current online responsiveness expectations (<2-second response times at the highest loads tested).
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1058-1075
  3. Still, J.: ¬The anthroplogy of online search strategy formation : a study of four countires (1996) 0.00 
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    Abstract
    Discusses the results of a survey sent to online searchers in the United Kingdom, USA, Australia and Canada. The purpose of the study was to investigate the influence of national culture on information retrieval skills. The survey form provided a sample question and asked searchers to prepare a preliminary strategy for a search on the Sociological Abstracts online database. Cultural patterns to online searching were discerned. American searchers were found to depend on controlled vocabulary much more than British searchers. Australian searchers seemed to have created a search style of their own, while Canadian searchers blended the American and British patterns. In reviewing results of the searches, over half of the citations retrieved were retrieved by more than one search. Australian searchers were more likely to retrieve items that no other search retrieved, while Canadian searchers had the highest overlap rate. If the theory that citations retrieved by the most searches are the most relevant is correct, then the Canadian searchers prepare the best searches. The Canadian searchers also seemed to be the most international, as their search results overlapped with those from the other 3 countires more often than did searches from other countries. One question contained in the survey asked searchers to suggest related databases for their searches. PAIS and SSCI were the databases mentioned most often in all 4 countires. Nevertheless, cultural differences and ethnocriticism could be discerned in the results with searchers listing databases specifically relating to their own countries or regions: Australian PAIS and US Political Science Abstracts being 2 examples
  4. Hsieh-Yee, I.: Effects of search experience and subject knowledge on the search tactics of novice and experienced searchers (1993) 0.00 
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    Source
    Journal of the American Society for Information Science. 44(1993) no.3, S.161-174
  5. Wildemuth, B.M.; Jacob, E.K.; Fullington, A.;; Bliek, R. de; Friedman, C.P.: ¬A detailed analysis of end-user search behaviours (1991) 0.00 
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    Imprint
    Medford : Learned Information Inc.
  6. Dennis, S.; Bruza, P.; McArthur, R.: Web searching : a process-oriented experimental study of three interactive search paradigms (2002) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.2, S.120-133
  7. Slone, D.J.: ¬The influence of mental models and goals on search patterns during Web interaction (2002) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.13, S.1152-1169
  8. Vakkari, P.; Pennanen, M.; Serola, S.: Changes of search terms and tactics while writing a research proposal : a longitudinal case study (2003) 0.00 
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    Source
    Information processing and management. 39(2003) no.3, S.445-463
  9. White, R.W.; Jose, J.M.; Ruthven, I.: ¬A task-oriented study on the influencing effects of query-biased summarisation in web searching (2003) 0.00 
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    Source
    Information processing and management. 39(2003) no.5, S.689-706
  10. Mansourian, I.: Web search efficacy : definition and implementation (2008) 0.00 
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    Abstract
    Purpose - This paper aims to report a number of factors that are perceived by web users as influential elements in their search procedure. The paper introduces a new conceptual measure called "web search efficacy" (hereafter WSE) to evaluate the performance of searches mainly based on users' perceptions. Design/methodology/approach - A rich dataset of a wider study was inductively re-explored to identify different categories that are perceived influential by web users on the final outcome of their searches. A selective review of the literature was carried out to discover to what extent previous research supports the findings of the current study. Findings - The analysis of the dataset led to the identification of five categories of influential factors. Within each group different factors have been recognized. Accordingly, the concept of WSE has been introduced. The five "Ss" which determine WSE are searcher's performance, search tool's performance, search strategy, search topic, and search situation. Research limitations/implications - The research body is scattered in different areas and it is difficult to carry out a comprehensive review. The WSE table, which is derived from the empirical data and was supported by previous research, can be employed for further research in various groups of web users. Originality/value - The paper contributes to the area of information seeking on the web by providing researchers with a new conceptual framework to evaluate the efficiency of each search session and identify the underlying factors on the final outcome of web searching.
  11. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00 
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    Abstract
    Purpose - This paper aims to report findings from an exploratory study investigating the web interactions and technoliteracy of children in the early childhood years. Previous research has studied aspects of older children's technoliteracy and web searching; however, few studies have analyzed web search data from children younger than six years of age. Design/methodology/approach - The study explored the Google web searching and technoliteracy of young children who are enrolled in a "preparatory classroom" or kindergarten (the year before young children begin compulsory schooling in Queensland, Australia). Young children were video- and audio-taped while conducting Google web searches in the classroom. The data were qualitatively analysed to understand the young children's web search behaviour. Findings - The findings show that young children engage in complex web searches, including keyword searching and browsing, query formulation and reformulation, relevance judgments, successive searches, information multitasking and collaborative behaviours. The study results provide significant initial insights into young children's web searching and technoliteracy. Practical implications - The use of web search engines by young children is an important research area with implications for educators and web technologies developers. Originality/value - This is the first study of young children's interaction with a web search engine.
  12. Bergman, O.; Whittaker, S.; Sanderson, M.; Nachmias, R.; Ramamoorthy, A.: ¬The effect of folder structure on personal file navigation (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2426-2441
  13. Barsky, E.; Bar-Ilan, J.: ¬The impact of task phrasing on the choice of search keywords and on the search process and success (2012) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.10, S.1987-2005
  14. Verberne, S.; Heijden, M. van der; Hinne, M.; Sappelli, M.; Koldijk, S.; Hoenkamp, E.; Kraaij, W.: Reliability and validity of query intent assessments (2013) 0.00 
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    Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2224-2237
  15. Lykke, M.; Price, S.; Delcambre, L.: How doctors search : a study of query behaviour and the impact on search results (2012) 0.00 
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    Source
    Information processing and management. 48(2012) no.6, S.1151-1170
  16. Liu, J.; Zhang, X.: ¬The role of domain knowledge in document selection from search results (2019) 0.00 
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    Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1236-1247
  17. Sa, N.; Yuan, X.J.: Examining users' partial query modification patterns in voice search (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.3, S.251-263
  18. Nori, R.: Web searching and navigation : age, intelligence, and familiarity (2020) 0.00 
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    Journal of the Association for Information Science and Technology. 71(2020) no.8, S.902-915
  19. Ford, N.; Miller, D.; Moss, N.: Web search strategies and approaches to studying (2003) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.6, S.473-488
  20. Renugadevi, S.; Geetha, T.V.; Gayathiri, R.L.; Prathyusha, S.; Kaviya, T.: Collaborative search using an implicitly formed academic network (2014) 0.00 
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    Aslib journal of information management. 66(2014) no.5, S.537-552

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