-
Schmidt, E.; Rosenberg, J.: Wie Google tickt (2015)
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- LCSH
- Google (Firm) / Management
Internet industry / Management / United States
- RSWK
- Google Inc. / Management
Google Inc. / Strategisches Management
- Subject
- Google Inc. / Management
Google Inc. / Strategisches Management
Google (Firm) / Management
Internet industry / Management / United States
-
Huvila, I.: Affective capitalism of knowing and the society of search engine (2016)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 68(2016) no.5, S.566-588
-
Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012)
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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
-
Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.6, S.663-686
-
Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 71(2019) no.3, S.310-324
-
Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 71(2019) no.3, S.325-343
-
Lewandowski, D.: Query understanding (2011)
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- Date
- 18. 9.2018 18:22:18
-
Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013)
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- Date
- 17.12.2013 11:02:22
-
Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014)
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- Date
- 13. 9.2014 14:45:22
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Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019)
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- Date
- 19. 2.2019 17:22:00
-
Fluhr, C.: Crosslingual access to photo databases (2012)
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- Date
- 17. 4.2012 14:25:22
-
Chen, L.-C.: Next generation search engine for the result clustering technology (2012)
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- Date
- 17. 4.2012 15:22:11
-
Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012)
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- Date
- 20. 4.2012 13:19:22
-
Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014)
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- Date
- 22. 9.2014 18:54:11
-
Berri, J.; Benlamri, R.: Context-aware mobile search engine (2012)
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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.
-
Jindal, V.; Bawa, S.; Batra, S.: ¬A review of ranking approaches for semantic search on Web (2014)
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- Source
- Information processing and management. 50(2014) no.2, S.416-425
-
Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016)
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- Source
- Information processing and management. 52(2016) no.5, S.733-752
-
Kucukyilmaz, T.; Cambazoglu, B.B.; Aykanat, C.; Baeza-Yates, R.: ¬A machine learning approach for result caching in web search engines (2017)
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- Source
- Information processing and management. 53(2017) no.4, S.834-850
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Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011)
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- Date
- 30. 9.2012 19:27:22
-
Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014)
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- Date
- 26. 1.2014 18:48:22
