专利名称：TECHNIQUES FOR PROVIDING SEQUENTIAL
RECOMMENDATIONS TO USERS
发明人：Nikolaos Vlassis,Georgios Theocharous申请号：US15373849申请日：20161209
公开号：US20180165590A1公开日：20180614
专利附图：
摘要：Certain embodiments involve generating personalized recommendations forusers by inferring a propensity of each individual user to accept a recommendation. Forexample, a system generates a personalized user model based on a historical transition
matrix that provides state transition probabilities from a general population of users. Theprobabilities are adjusted based on the propensity for a user to accept arecommendation. The system determines a recommended action for the user totransition between predefined states based on the user model. Once the user hasperformed an activity that transitions from a current state, the system adjusts a
probability distribution for an estimate of the propensity based on whether the activity isthe recommended action.
申请人：Adobe Systems Incorporated
地址：San Jose CA US
国籍：US
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