Search (32 results, page 2 of 2)

  • × language_ss:"e"
  • × theme_ss:"Internet"
  • × year_i:[2000 TO 2010}
  1. Yang, C.C.; Liu, N.: Web site topic-hierarchy generation based on link structure (2009) 0.01
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    Date
    22. 3.2009 12:51:47
  2. Hu, D.; Kaza, S.; Chen, H.: Identifying significant facilitators of dark network evolution (2009) 0.01
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    Date
    22. 3.2009 18:50:30
  3. Kim, S.; Oh, S.: Users' relevance criteria for evaluating answers in a social Q&A site (2009) 0.01
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    Date
    22. 3.2009 18:57:23
  4. Ku, L.-W.; Ho, H.-W.; Chen, H.-H.: Opinion mining and relationship discovery using CopeOpi opinion analysis system (2009) 0.01
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    Abstract
    We present CopeOpi, an opinion-analysis system, which extracts from the Web opinions about specific targets, summarizes the polarity and strength of these opinions, and tracks opinion variations over time. Objects that yield similar opinion tendencies over a certain time period may be correlated due to the latent causal events. CopeOpi discovers relationships among objects based on their opinion-tracking plots and collocations. Event bursts are detected from the tracking plots, and the strength of opinion relationships is determined by the coverage of these plots. To evaluate opinion mining, we use the NTCIR corpus annotated with opinion information at sentence and document levels. CopeOpi achieves sentence- and document-level f-measures of 62% and 74%. For relationship discovery, we collected 1.3M economics-related documents from 93 Web sources over 22 months, and analyzed collocation-based, opinion-based, and hybrid models. We consider as correlated company pairs that demonstrate similar stock-price variations, and selected these as the gold standard for evaluation. Results show that opinion-based and collocation-based models complement each other, and that integrated models perform the best. The top 25, 50, and 100 pairs discovered achieve precision rates of 1, 0.92, and 0.79, respectively.
  5. Drabenstott, K.M.: Web search strategies (2000) 0.01
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    Date
    22. 9.1997 19:16:05
  6. Blosser, J.; Michaelson, R.; Routh. R.; Xia, P.: Defining the landscape of Web resources : Concluding Report of the BAER Web Resources Sub-Group (2000) 0.01
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    Date
    21. 4.2002 10:22:31
  7. Huberman, B.: ¬The laws of the Web: : patterns in the ecology of information (2001) 0.01
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    Date
    22.10.2006 10:22:33
  8. Research and advanced technology for digital libraries : 7th European conference, ECDL2003 Trondheim, Norway, August 17-22, 2003. Proceedings (2003) 0.01
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  9. Research and advanced technology for digital libraries : 10th European conference ; proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006 ; proceedings (2006) 0.01
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  10. Human perspectives in the Internet society : culture, psychology and gender; International Conference on Human Perspectives in the Internet Society <1, 2004, Cádiz> (2004) 0.01
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    Classification
    303.48/33 22 (LoC)
    DDC
    303.48/33 22 (LoC)
  11. Lipow, A.G.: ¬The virtual reference librarian's handbook (2003) 0.00
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    Date
    22. 3.2004 14:46:50
  12. Bruce, H.: ¬The user's view of the Internet (2002) 0.00
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    Footnote
    Chapter 2 (Technology and People) focuses an several theories of technological acceptance and diffusion. Unfortunately, Bruce's presentation is somewhat confusing as he moves from one theory to next, never quite connecting them into a logical sequence or coherent whole. Two theories are of particular interest to Bruce: the Theory of Diffusion of Innovations and the Theory of Planned Behavior. The Theory of Diffusion of Innovations is an "information-centric view of technology acceptance" in which technology adopters are placed in the information flows of society from which they learn about innovations and "drive innovation adoption decisions" (p. 20). The Theory of Planned Behavior maintains that the "performance of a behavior is a joint function of intentions and perceived behavioral control" (i.e., how muck control a person thinks they have) (pp. 22-23). Bruce combines these two theories to form the basis for the Technology Acceptance Model. This model posits that "an individual's acceptance of information technology is based an beliefs, attitudes, intentions, and behaviors" (p. 24). In all these theories and models echoes a recurring theme: "individual perceptions of the innovation or technology are critical" in terms of both its characteristics and its use (pp. 24-25). From these, in turn, Bruce derives a predictive theory of the role personal perceptions play in technology adoption: Personal Innovativeness of Information Technology Adoption (PIITA). Personal inventiveness is defined as "the willingness of an individual to try out any new information technology" (p. 26). In general, the PIITA theory predicts that information technology will be adopted by individuals that have a greater exposure to mass media, rely less an the evaluation of information technology by others, exhibit a greater ability to cope with uncertainty and take risks, and requires a less positive perception of an information technology prior to its adoption. Chapter 3 (A Focus an Usings) introduces the User-Centered Paradigm (UCP). The UCP is characteristic of the shift of emphasis from technology to users as the driving force behind technology and research agendas for Internet development [for a dissenting view, see Andrew Dillion's (2003) challenge to the utility of user-centerness for design guidance]. It entails the "broad acceptance of the user-oriented perspective across a range of disciplines and professional fields," such as business, education, cognitive engineering, and information science (p. 34).

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