Data processing: artificial intelligence – Knowledge processing system
Reexamination Certificate
2011-08-30
2011-08-30
Rivas, Omar F Fernandez (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Reexamination Certificate
active
08010472
ABSTRACT:
A system includes: a preference model generating unit that generates a preference model by learning and storing the preference model for a user based on a behavior history that indicates history of behavior of the user; an evaluation list generating unit that calculates probability of a plurality of recommended candidates based on the preference model and generates an evaluation list indicating the probability of the recommended candidates; a default predicting unit that specifies habituation of the user based on the information on the behavior history and calculates a predicted default value of the plurality of recommended candidates based on the habituation; and an evaluated unexpectedness value calculating unit that calculates an evaluated unexpectedness value indicating unexpectedness where the unexpectedness is higher as a difference obtained by subtracting the predicted default value from the probability is larger.
REFERENCES:
patent: 2009/0234784 (2009-09-01), Buriano et al.
Silberschatz et al. “On Subjective Measures of Interestingness in Knowledge Discovery”, KDD-95, pp. 275-281.
Jaroszewicz et al. “Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge”, KDD'04, pp. 22-25.
Hilderman et al. “Heuristics for Ranking the Interestingness of Discovered Knowledge”, PAKDD-99, LNAI 1574, pp. 204-210.
Cai-Nicolas Ziegler, et al., Improving Recommendation Lists Through Topic Diversification, Proceedings of World Wide Web Conference, pp. 22-32, 2005.
Chang Li-Wu
Fernandez Rivas Omar F
Kabushiki Kaisha Toshiba
Turocy & Watson LLP
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