Machine learning system and method comprising segregator convergence and recognition components to determine the existence of possible tagging data trends and identify that predetermined convergence criteria have been met or establish criteria for taxonomy purpose then recognize items based on an aggregate of user tagging behavior
作者： Raymond E. Ozzie , Melora Zaner-Godsey , Christopher W. Brumme , Arnold N. Blinn , Daniel S. Glasser
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摘要: Systems and methods that recognize items based on aggregated tagging behavior of users regarding the items. Individual can establish relationships among tagged system analyzes aggregate such established relationships, to item and/or infer additional information (e.g., wisdom crowd as metadata annotations, relevance ranking, like). Subsequently, search engine crawlers be supplied with extra for reverse link tables) facilitate enterprise management search.
google.it 参考文章(1)
Gurhan Gunduz, Shrideep Pallickara, Geoffrey C. Fox, A Framework for Aggregating Network Performance in Distributed Brokering Systems ,(2003)