Systems and methods for optimizing decision graph
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专利名称：Systems and methods for optimizing
decision graph collaborative filtering
发明人：Christopher A. Meek,David M.
Chickering,Christopher B. Weare,Pradeep K.
Gupta
申请号：US10654131
申请日：20030903
公开号：US20050049987A1
公开日：
20050303
专利内容由知识产权出版社提供
专利附图：
摘要：The present invention provides collaborative filtering systems and methods
employing default scores of decision graphs/trees to quickly create a top-n prediction list that can efficiently determine a user's interest in items. In one instance of the present invention, the list is refined by utilizing a variable maximum score algorithm and/or an invalidation list algorithm to insert items that score above an inclusion threshold set by a last item in the top-n prediction list. In another instance of the present invention, an invalidation list for a decision graph and/or decision tree is utilized to create a top-n prediction list. An algorithm employing default scores is then utilized to refine the top-n prediction list to insert items with default scores above an inclusion threshold set by a last item in the top-n prediction list.
申请人：Christopher A. Meek,David M. Chickering,Christopher B. Weare,Pradeep K. Gupta
地址：Kirkland WA US,Bellevue WA US,Bellevue WA US,Kirkland WA US
国籍：US,US,US,US
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