Search (27 results, page 1 of 2)

  • × theme_ss:"Suchmaschinen"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Joint, N.: ¬The one-stop shop search engine : a transformational library technology? ANTAEUS (2010) 0.05
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    Abstract
    Purpose - The purpose of this paper is to form one of a series which will give an overview of so-called "transformational" areas of digital library technology. The aim will be to assess how much real transformation these applications are bringing about, in terms of creating genuine user benefit and also changing everyday library practice. Design/methodology/approach - An overview of the present state of development of the one-stop shop library search engine, with particular reference to its relationship with the underlying bibliographic databases to which it provides a simplified single interface. Findings - The paper finds that the success of federated searching has proved valuable but limited to date in creating a one-stop shop search engine to rival Google Scholar; but the persistent value of the bibliographic databases sitting underneath a federated search system means that a harvesting search engine could well answer the need for a true one-stop search engine for academic and scholarly information. Research limitations/implications - This paper is based on the hypothesis that Google's success in providing such an apparently high degree of access to electronic journal services is not what it seems, and that it does not render library discovery tools obsolete. It argues that Google has not diminished the pre-eminent role of library bibliographic databases in mediating access to e-journal text, although this hypothesis needs further research to validate or disprove it. Practical implications - The paper affirms the value of bibliographic databases to practitioner librarians and the potential of single interface discovery tools in library practice. Originality/value - The paper uses statistics from US LIS sources to shed light on UK discovery tool issues.
    Source
    Library review. 59(2010) no.4, S.240-248
  2. Hurz, S.: Google verfolgt Nutzer, auch wenn sie explizit widersprechen (2018) 0.02
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    Source
    https://www.sueddeutsche.de/digital/2.220/standortverlauf-google-verfolgt-nutzer-auch-wenn-sie-explizit-widersprechen-1.4092772
  3. Berri, J.; Benlamri, R.: Context-aware mobile search engine (2012) 0.01
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    Abstract
    Exploiting context information in a web search engine helps fine-tuning web services and applications to deliver custom-made information to end users. While context, including user and environment information, cannot be exploited efficiently in the wired Internet interaction type, it is becoming accessible with the mobile web where users have an intimate relationship with their handsets. In this type of interaction, context plays a significant role enhancing information search and therefore, allowing a search engine to detect relevant content in all digital forms and formats. This chapter proposes a context model and an architecture that promote integration of context information for individuals and social communities to add value to their interaction with the mobile web. The architecture relies on efficient knowledge management of multimedia resources for a wide range of applications and web services. The research is illustrated with a corporate case study showing how efficient context integration improves usability of a mobile search engine.
  4. Bilal, D.; Gwizdka, J.: Children's query types and reformulations in Google search (2018) 0.01
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    Abstract
    We investigated the searching behaviors of twenty-four children in grades 6, 7, and 8 (ages 11-13) in finding information on three types of search tasks in Google. Children conducted 72 search sessions and issued 150 queries. Children's phrase- and question-like queries combined were much more prevalent than keyword queries (70% vs. 30%, respectively). Fifty two percent of the queries were reformulations (33 sessions). We classified children's query reformulation types into five classes based on the taxonomy by Liu et al. (2010). We found that most query reformulations were by Substitution and Specialization, and that children hardly repeated queries. We categorized children's queries by task facets and examined the way they expressed these facets in their query formulations and reformulations. Oldest children tended to target the general topic of search tasks in their queries most frequently, whereas younger children expressed one of the two facets more often. We assessed children's achieved task outcomes using the search task outcomes measure we developed. Children were mostly more successful on the fact-finding and fully self-generated task and partially successful on the research-oriented task. Query type, reformulation type, achieved task outcomes, and expressing task facets varied by task type and grade level. There was no significant effect of query length in words or of the number of queries issued on search task outcomes. The study findings have implications for human intervention, digital literacy, search task literacy, as well as for system intervention to support children's query formulation and reformulation during interaction with Google.
  5. Chau, M.; Wong, C.H.; Zhou, Y.; Qin, J.; Chen, H.: Evaluating the use of search engine development tools in IT education (2010) 0.01
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    Abstract
    It is important for education in computer science and information systems to keep up to date with the latest development in technology. With the rapid development of the Internet and the Web, many schools have included Internet-related technologies, such as Web search engines and e-commerce, as part of their curricula. Previous research has shown that it is effective to use search engine development tools to facilitate students' learning. However, the effectiveness of these tools in the classroom has not been evaluated. In this article, we review the design of three search engine development tools, SpidersRUs, Greenstone, and Alkaline, followed by an evaluation study that compared the three tools in the classroom. In the study, 33 students were divided into 13 groups and each group used the three tools to develop three independent search engines in a class project. Our evaluation results showed that SpidersRUs performed better than the two other tools in overall satisfaction and the level of knowledge gained in their learning experience when using the tools for a class project on Internet applications development.
  6. Lewandowski, D.: Query understanding (2011) 0.01
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    Date
    18. 9.2018 18:22:18
  7. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.01
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    Date
    17.12.2013 11:02:22
  8. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01
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    Date
    19. 2.2019 17:22:00
  9. Rieh, S.Y.; Kim, Y.-M.; Markey, K.: Amount of invested mental effort (AIME) in online searching (2012) 0.01
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    Abstract
    This research investigates how people's perceptions of information retrieval (IR) systems, their perceptions of search tasks, and their perceptions of self-efficacy influence the amount of invested mental effort (AIME) they put into using two different IR systems: a Web search engine and a library system. It also explores the impact of mental effort on an end user's search experience. To assess AIME in online searching, two experiments were conducted using these methods: Experiment 1 relied on self-reports and Experiment 2 employed the dual-task technique. In both experiments, data were collected through search transaction logs, a pre-search background questionnaire, a post-search questionnaire and an interview. Important findings are these: (1) subjects invested greater mental effort searching a library system than searching the Web; (2) subjects put little effort into Web searching because of their high sense of self-efficacy in their searching ability and their perception of the easiness of the Web; (3) subjects did not recognize that putting mental effort into searching was something needed to improve the search results; and (4) data collected from multiple sources proved to be effective for assessing mental effort in online searching.
  10. Sleem-Amer, M.; Bigorgne, I.; Brizard, S.; Santos, L.D.P.D.; Bouhairi, Y. El; Goujon, B.; Lorin, S.; Martineau, C.; Rigouste, L.; Varga, L.: Intelligent semantic search engines for opinion and sentiment mining (2012) 0.01
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    Abstract
    Over the last years, research and industry players have become increasingly interested in analyzing opinions and sentiments expressed on the social media web for product marketing and business intelligence. In order to adapt to this need search engines not only have to be able to retrieve lists of documents but to directly access, analyze, and interpret topics and opinions. This article covers an intermediate phase of the ongoing industrial research project 'DoXa' aiming at developing a semantic opinion and sentiment mining search engine for the French language. The DoXa search engine enables topic related opinion and sentiment extraction beyond positive and negative polarity using rich linguistic resources. Centering the work on two distinct business use cases, the authors analyze both unstructured Web 2.0 contents (e.g., blogs and forums) and structured questionnaire data sets. The focus is on discovering hidden patterns in the data. To this end, the authors present work in progress on opinion topic relation extraction and visual analytics, linguistic resource construction as well as the combination of OLAP technology with semantic search.
  11. Wichor, M.B.: Variation in number of hits for complex searches in Google Scholar (2016) 0.01
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    Source
    Journal of the Medical Library Association. 104(2016), no.2, S.143-145
  12. Luo, M.M.; Nahl, D.: Let's Google : uncertainty and bilingual search (2019) 0.01
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    Abstract
    This study applies Kuhlthau's Information Search Process stage (ISP) model to understand bilingual users' Internet search experience. We conduct a quasi-field experiment with 30 bilingual searchers and the results suggested that the ISP model was applicable in studying searchers' information retrieval behavior in search tasks. The ISP model was applicable in studying searchers' information retrieval behavior in simple tasks. However, searchers' emotional responses differed from those of the ISP model for a complex task. By testing searchers using different search strategies, the results suggested that search engines with multilanguage search functions provide an advantage for bilingual searchers in the Internet's multilingual environment. The findings showed that when searchers used a search engine as a tool for problem solving, they might experience different feelings in each ISP stage than in searching for information for a term paper using a library. The results echo other research findings that indicate that information seeking is a multifaceted phenomenon.
  13. Fluhr, C.: Crosslingual access to photo databases (2012) 0.01
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    Date
    17. 4.2012 14:25:22
  14. Chen, L.-C.: Next generation search engine for the result clustering technology (2012) 0.01
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    Date
    17. 4.2012 15:22:11
  15. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.01
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    Date
    20. 4.2012 13:19:22
  16. Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014) 0.01
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    Date
    22. 9.2014 18:54:11
  17. Huvila, I.: Affective capitalism of knowing and the society of search engine (2016) 0.01
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    Date
    20. 1.2015 18:30:22
  18. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.00
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    Date
    20. 4.2012 13:22:37
  19. Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.00
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    Date
    30. 9.2012 19:27:22
  20. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.00
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    Date
    26. 1.2014 18:48:22