Search (30 results, page 1 of 2)

  • × theme_ss:"Suchtaktik"
  • × year_i:[2010 TO 2020}
  1. Lu, L.; Yuan, U.: Shall I Google it or ask the competent villain down the hall? : the moderating role of information need in information source selection (2011) 0.03
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    Abstract
    Previous studies have found that both (a) the characteristics (e.g., quality and accessibility) and (b) the types of sources (e.g., relational and nonrelational sources) influence information source selection. Different from earlier studies that have prioritized one source attribute over the other, this research uses information need as a contingency factor to examine information seekers' simultaneous consideration of different attributes. An empirical test from 149 employees' evaluations of eight information sources revealed that (a) low-and high-information-need individuals favored information source quality over accessibility while medium-information-need individuals favored accessibility over quality; and (b) individuals are more likely to choose relational over nonrelational sources as information need increases.
  2. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.03
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    Source
    Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
  3. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.01
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    Date
    20. 1.2015 18:30:22
  4. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.01
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    Date
    3. 5.1997 8:44:22
  5. Looking for information : a survey on research on information seeking, needs, and behavior (2012) 0.01
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  6. Sanchiza, M.; Chinb, J.; Chevaliera, A.; Fuc, W.T.; Amadieua, F.; Hed, J.: Searching for information on the web : impact of cognitive aging, prior domain knowledge and complexity of the search problems (2017) 0.01
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  7. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.01
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    Editor
    Case, D.O. u. Lisa M. Given
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  8. Kim, J.; Thomas, P.; Sankaranarayana, R.; Gedeon, T.; Yoon, H.-J.: Eye-tracking analysis of user behavior and performance in web search on large and small screens (2015) 0.01
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  9. Sanfilippo, M.; Yang, S.; Fichman, P.: Trolling here, there, and everywhere : perceptions of trolling behaviors in context (2017) 0.01
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  10. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains (2012) 0.01
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  11. Niu, X.; Hemminger, B.: Analyzing the interaction patterns in a faceted search interface (2015) 0.01
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  12. González-Ibáñez, R.; Shah, C.; White, R.W.: Capturing 'Collabportunities' : a method to evaluate collaboration opportunities in information search using pseudocollaboration (2015) 0.01
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    Abstract
    In explicit collaborative search, two or more individuals coordinate their efforts toward a shared goal. Every day, Internet users with similar information needs have the potential to collaborate. However, online search is typically performed in solitude. Existing search systems do not promote explicit collaborations, and collaboration opportunities (collabportunities) are missed. In this article, we describe a method to evaluate the feasibility of transforming these collabportunities into recommendations for explicit collaboration. We developed a technique called pseudocollaboration to evaluate the benefits and costs of collabportunities through simulations. We evaluate the performance of our method using three data sets: (a) data from single users' search sessions, (b) data with collaborative search sessions between pairs of searchers, and (c) logs from a large-scale search engine with search sessions of thousands of searchers. Our results establish when and how collabportunities would significantly help or hinder the search process versus searches conducted individually. The method that we describe has implications for the design and implementation of recommendation systems for explicit collaboration. It also connects system-mediated and user-mediated collaborative search, whereby the system evaluates the likely benefits of collaborating for a search task and helps searchers make more informed decisions on initiating and executing such a collaboration.
  13. St. Jean, B.: Factors motivating, demotivating, or impeding information seeking and use by people with type 2 diabetes : a call to work toward preventing, identifying, and addressing incognizance (2017) 0.01
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  14. Foss, E.; Druin, A.; Yip, J.; Ford, W.; Golub, E.; Hutchinson, H.: Adolescent search roles (2013) 0.01
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  15. Ren, P.; Chen, Z.; Ma, J.; Zhang, Z.; Si, L.; Wang, S.: Detecting temporal patterns of user queries (2017) 0.01
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  16. Kaptein, R.; Kamps, J.: Explicit extraction of topical context (2011) 0.00
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  17. 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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  18. Rowley, J.; Johnson, F.; Sbaffi, L.: Gender as an influencer of online health information-seeking and evaluation behavior (2017) 0.00
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  19. Walhout, J.; Oomen, P.; Jarodzka, H.; Brand-Gruwel, S.: Effects of task complexity on online search behavior of adolescents (2017) 0.00
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  20. Karanam, S.; Oostendorp, H. van; Sanchiz, M.; Chin, J.; Fu, W.-T.: Cognitive modeling of age-related differences in information search behavior (2017) 0.00
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