Search (203 results, page 1 of 11)

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  1. Price, A.: NOVAGate : a Nordic gateway to electronic resources in the forestry, veterinary and agricultural sciences (2000) 0.06
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    Date
    22. 6.2002 19:41:00
    Location
    N
  2. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.05
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    Abstract
    Purpose The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons. Design/methodology/approach The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform. Findings Google's top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists. Research limitations/implications The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries. Originality/value The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.
    Date
    20. 1.2015 18:30:22
  3. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.04
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    Abstract
    This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
    Date
    20. 4.2012 13:22:37
  4. Unkel, J.; Haas, A.: ¬The effects of credibility cues on the selection of search engine results (2017) 0.04
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    Abstract
    Web search engines act as gatekeepers when people search for information online. Research has shown that search engine users seem to trust the search engines' ranking uncritically and mostly select top-ranked results. This study further examines search engine users' selection behavior. Drawing from the credibility and information research literature, we test whether the presence or absence of certain credibility cues influences the selection probability of search engine results. In an observational study, participants (N?=?247) completed two information research tasks on preset search engine results pages, on which three credibility cues (source reputation, message neutrality, and social recommendations) as well as the search result ranking were systematically varied. The results of our study confirm the significance of the ranking. Of the three credibility cues, only reputation had an additional effect on selection probabilities. Personal characteristics (prior knowledge about the researched issues, search engine usage patterns, etc.) did not influence the preference for search results linked with certain credibility cues. These findings are discussed in light of situational and contextual characteristics (e.g., involvement, low-cost scenarios).
    Footnote
    This research was supported by the LMUexcellent Junior Researcher Fund. The authors would like to thank Nora Denner, Lena Storck, and especially Ramona Berger for their assistance with experiment supervision and coding, and the reviewers for their valuable suggestions.
  5. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.04
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    Abstract
    The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
    Date
    20. 4.2012 13:19:22
  6. Head, M.; Archer, N.; Yuan, Y.: World Wide Web navigation aid (2000) 0.04
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  7. Guarino, N.; Masolo, C.; Vetere, G.: OntoSeek : content-based access to the Web (1999) 0.04
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  8. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.03
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  9. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.03
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  10. Höfer, W.: Detektive im Web (1999) 0.03
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    Date
    22. 8.1999 20:22:06
  11. Rensman, J.: Blick ins Getriebe (1999) 0.03
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    Date
    22. 8.1999 21:22:59
  12. Gencosman, B.C.; Ozmutlu, H.C.; Ozmutlu, S.: Character n-gram application for automatic new topic identification (2014) 0.03
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    Abstract
    The widespread availability of the Internet and the variety of Internet-based applications have resulted in a significant increase in the amount of web pages. Determining the behaviors of search engine users has become a critical step in enhancing search engine performance. Search engine user behaviors can be determined by content-based or content-ignorant algorithms. Although many content-ignorant studies have been performed to automatically identify new topics, previous results have demonstrated that spelling errors can cause significant errors in topic shift estimates. In this study, we focused on minimizing the number of wrong estimates that were based on spelling errors. We developed a new hybrid algorithm combining character n-gram and neural network methodologies, and compared the experimental results with results from previous studies. For the FAST and Excite datasets, the proposed algorithm improved topic shift estimates by 6.987% and 2.639%, respectively. Moreover, we analyzed the performance of the character n-gram method in different aspects including the comparison with Levenshtein edit-distance method. The experimental results demonstrated that the character n-gram method outperformed to the Levensthein edit distance method in terms of topic identification.
    Object
    n-grams
  13. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.03
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    Date
    27.11.2005 18:04:22
  14. Iivonen, M.; White, M.D.: ¬The choice of initial web search strategies : a comparison between Finnish and American searchers (2001) 0.03
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    Abstract
    This paper uses a mix of qualitative and quantitative methodology to analyse differences between Finnish and American web searchers (n=27 per country) in their choice of initial search strategies (direct address, subject directory and search engines) and their reasoning underlying these choices, with data gathered via a questionnaire. The paper looks at these differences for four types of questions with two variables: closed/open and predictable/unpredictable source of answer (n=16 questions per searcher; total n=864 questions). The paper found significant differences between the two groups' initial search strategies and for three of the four types of questions. The reasoning varied across countries and questions as well, with Finns mentioning fewer reasons although both groups mentioned in aggregate a total of 1,284 reasons in twenty-four reason categories. The reasoning indicated that both country groups considered not only question-related reasons but also source- and search-strategy related reasons in making their decision. The research raises questions about considering cultural differences in designing web search access mechanisms.
  15. Pharo, N.: Web information search strategies : a model for classifying Web interaction (1999) 0.03
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  16. Spree, U.; Feißt, N.; Lühr, A.; Piesztal, B.; Schroeder, N.; Wollschläger, P.: Semantic search : State-of-the-Art-Überblick zu semantischen Suchlösungen im WWW (2011) 0.03
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  17. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.02
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    Date
    22. 6.2002 19:40:22
  18. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.02
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
  19. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.02
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    Date
    25. 8.2005 17:42:22
  20. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.02
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    Date
    3. 5.1997 8:44:22

Years

Languages

  • e 112
  • d 89
  • f 1
  • nl 1
  • More… Less…

Types

  • a 177
  • el 18
  • m 11
  • x 3
  • p 2
  • r 1
  • More… Less…