Building Trust On Line the Design of Reliable Reuptation Reporting Building Tr
Building Trust On Line the Design of Reliable Reuptation Reporting Building Tr
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In our eReader you can find the full English version of the book. Read Building Trust On Line the Design of Reliable Reuptation Reporting Building Tr Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Building Trust On Line the Design of Reliable Reuptation Reporting Building Tr
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Following that analysis, a number of novel techniques for "immunizing" online reputation reporting systems against unfair ratings were proposed and analyzed in Section 4. The proposed mechanisms are summarized in Figure 5. Together, the combination of frequency filtering and median filtering is capable of guaranteeing reputation biases of less than 5% (e. G. Less than ±0. 5 points when ratings range from 1-10) when the ratio of unfair raters is up to 15-20% of the total buyer population for a g...iven seller.
The conclusions of this paper are directly applicable to the design of current and future electronic marketplaces. More specifically, the analysis of the proposed techniques has resulted in a number of important guidelines that managers of online marketplaces should take into account in order to embed effective reputation reporting systems into their respective communities; • It is important to be able to authenticate the identity of rating providers. Unauthenticated communities are vulnerable to unfair rating "flooding" attacks.
What to read after Building Trust On Line the Design of Reliable Reuptation Reporting Building Tr?
You can find similar books in the "Read Also" column, or choose other free books by Chrysanthos Dellarocas to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
Following that analysis, a number of novel techniques for "immunizing" online reputation reporting systems against unfair ratings were proposed and analyzed in Section 4. The proposed mechanisms are summarized in Figure 5. Together, the combination of frequency filtering and median filtering is capable of guaranteeing reputation biases of less than 5% (e. G. Less than ±0. 5 points when ratings range from 1-10) when the ratio of unfair raters is up to 15-20% of the total buyer population for a g...iven seller.
The conclusions of this paper are directly applicable to the design of current and future electronic marketplaces. More specifically, the analysis of the proposed techniques has resulted in a number of important guidelines that managers of online marketplaces should take into account in order to embed effective reputation reporting systems into their respective communities; • It is important to be able to authenticate the identity of rating providers. Unauthenticated communities are vulnerable to unfair rating "flooding" attacks.
What to read after Building Trust On Line the Design of Reliable Reuptation Reporting Building Tr?
You can find similar books in the "Read Also" column, or choose other free books by Chrysanthos Dellarocas to read onlineMoreLess
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