Search (18 results, page 1 of 1)

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  • × theme_ss:"Suchmaschinen"
  • × year_i:[2010 TO 2020}
  1. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications (2012) 0.00 
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    Abstract
    Search engines are the major means of information retrieval over the Internet. People's dependence on them increases over time as SEs introduce new and sophisticated technologies. The developments in the Artificial Intelligence (AI) will transform the current search engines Artificial Intelligence Enabled Search Engines (AIESE). Search engines already play a critical role in classifying, sorting and delivering the information over the Internet. However, as Internet's mainstream role becomes more apparent and AI technology increases the sophistication of the tools of the SEs, their roles will become much more critical. Since, the future of search engines are examined, the technological singularity concept is analyzed in detail. Second and third order indirect side effects are analyzed. A four-stage evolution-model is suggested.
  2. White, R.W.: Interactions with search systems (2016) 0.00 
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    Abstract
    Information seeking is a fundamental human activity. In the modern world, it is frequently conducted through interactions with search systems. The retrieval and comprehension of information returned by these systems is a key part of decision making and action in a broad range of settings. Advances in data availability coupled with new interaction paradigms, and mobile and cloud computing capabilities, have created a broad range of new opportunities for information access and use. In this comprehensive book for professionals, researchers, and students involved in search system design and evaluation, search expert Ryen White discusses how search systems can capitalize on new capabilities and how next-generation systems must support higher order search activities such as task completion, learning, and decision making. He outlines the implications of these changes for the evolution of search evaluation, as well as challenges that extend beyond search systems in areas such as privacy and societal benefit.
  3. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.00 
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    Date
    17.12.2013 11:02:22
  4. Ke, W.: Decentralized search and the clustering paradox in large scale information networks (2012) 0.00 
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    Pages
    S.29-46
  5. Fluhr, C.: Crosslingual access to photo databases (2012) 0.00 
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    Date
    17. 4.2012 14:25:22
  6. Chen, L.-C.: Next generation search engine for the result clustering technology (2012) 0.00 
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    Date
    17. 4.2012 15:22:11
  7. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.00 
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    Date
    20. 4.2012 13:19:22
  8. Huvila, I.: Affective capitalism of knowing and the society of search engine (2016) 0.00 
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    Date
    20. 1.2015 18:30:22
  9. Clewley, N.; Chen, S.Y.; Liu, X.: Cognitive styles and search engine preferences : field dependence/independence vs holism/serialism (2010) 0.00 
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    Date
    29. 8.2010 13:11:47
  10. Zhitomirsky-Geffet, M.; Bar-Ilan, J.; Levene, M.: Analysis of change in users' assessment of search results over time (2017) 0.00 
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    Date
    16.11.2017 13:33:29
  11. 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
  12. 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
  13. 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
  14. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
  15. Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015) 0.00 
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    Date
    20. 1.2015 18:30:22
  16. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.00 
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    Date
    20. 1.2015 18:30:22
  17. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.00 
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    20. 1.2015 18:30:22
  18. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.00 
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    Date
    1. 2.2016 18:25:22

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