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appendix_a [2009/12/01 15:00]
randy submitted for publisher review
appendix_a [2009/12/03 09:04] (current)
randy
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Dynamic reputation models have constantly changing constraints: Dynamic reputation models have constantly changing constraints:
-  * Variable contexts: The data considered for each calculation is constrained differently for each display context. This use is popual in social applications, such as Zynga's popular //Texas HoldEmPoker//, which displays friends-only leader boards.+  * Variable contexts: The data considered for each calculation is constrained differently for each display context. This use is common in social applications, such as Zynga's popular //Texas HoldEmPoker//, which displays friends-only leader boards.
  * Complex multi-element relationships: The data calculations effect each other in a non-linear way, such as search relevance calculations like Google's Page-Rank. Recommender Systems are also dynamic data models…typically a large portion of the data set is considered to put every element in a multi-dimensional space for nearest-neighbor determination. This allows the display of “People like you also bought…” entities.   * Complex multi-element relationships: The data calculations effect each other in a non-linear way, such as search relevance calculations like Google's Page-Rank. Recommender Systems are also dynamic data models…typically a large portion of the data set is considered to put every element in a multi-dimensional space for nearest-neighbor determination. This allows the display of “People like you also bought…” entities.
appendix_a.txt · Last modified: 2009/12/03 09:04 by randy
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