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  • × author_ss:"Shapira, B."
  • × year_i:[2000 TO 2010}
  1. Shapira, B.; Kantor, P.B.; Melamed, B.: ¬The effect of extrinsic motivation on user behavior in a collaborative information finding system (2001) 0.00 
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    Abstract
    In collaborative information finding systems, evaluations provided by users assist other users with similar needs. This article examines the problem of getting users to provide evaluations, thus overcoming the so-called "free-riding" behavior of users. Free riders are those who use the information provided by others without contributing evaluations of their own. This article reports on an experiment conducted using the "AntWorld," system, a collaborative information finding system for the Internet, to explore the effect of added motivation on users' behavior. The findings suggest that for the system to be effective, users must be motivated either by the environment, or by incentives within the system. The findings suggest that relatively inexpensive extrinsic motivators can produce modest but significant increases in cooperative behavior
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.11, S.879-887
  2. Kuflik, T.; Shapira, B.; Shoval, P.: Stereotype-based versus personal-based filtering rules in information filtering systems (2003) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.3, S.243-250
  3. Shapira, B.; Elovici, Y.; Meshiach, A.; Kuflik, T.: PRAW-A PRivAcy model for the Web (2005) 0.00 
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    Abstract
    Web navigation enables easy access to vast amounts of information and services. However, it also poses a major risk to users' privacy. Various eavesdroppers constantly attempt to violate users' privacy by tracking their navigation activities and inferring their interests and needs (profiles). Users who wish to keep their intentions secret forego useful services to avoid exposure. The computer security community has concentrated an improving users' privacy by concealing their identity an the Web. However, users may want or need to identify themselves over the Net to receive certain services but still retain their interests, needs, and intentions in private. PRAWa PRivAcy model for the Web suggested in this paperis aimed at hiding users' navigation tracks to prevent eavesdroppers from inferring their profiles but still allowing them to be identified. PRAW is based an continuous generation of fake transactions in various fields of interests to confuse eavesdroppers' automated programs, thus providing them false data. A privacy measure is defined that reflects the difference between users' actual profile and the profile that eavesdroppers might infer. A prototype system was developed to examine PRAW's feasibility and conduct experiments to test its effectiveness. Encouraging results and their analysis are presented, as weIl as possible attacks and known limitations.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.2, S.159-172
  4. Shapira, B.; Shoval, P.; Tractinsky, N.; Meyer, J.: ePaper : a personalized mobile newspaper (2009) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2333-2346

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