STATISTICAL PERSONALIZED RECOMMENDATION SYSTEM
First Claim
1. A system for obtaining information on objects and for communication to users in one or more groups of users, the system comprising:
- a database for storing user-related information, wherein said user-related information includes a history of ratings of items by users in the one or more groups of users;
a state updater for computing parameters based on the user-related information, including;
computing parameters associated with the one or more groups, including for each of the one or more groups of users, computing group effect parameters characterizing predicted ratings of a set of items by a representative user of the group; and
computing personalized statistical parameters for each of one or more individual users using the parameters associated with said user'"'"'s group of users and the stored history of ratings of items by said user; and
a scorer for selectively calculating predicted ratings of the set of items by said user using the group effect parameters associated with said user'"'"'s group of users and the personalized statistical parameters for said user.
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Accused Products
Abstract
A method for recommending items in a domain to users, either individually or in groups, makes user of users'"'"' characteristics, their carefully elicited preferences, and a history of their ratings of the items are maintained in a database. Users are assigned to cohorts that are constructed such that significant between-cohort differences emerge in the distribution of preferences. Cohort-specific parameters and their precisions are computed using the database, which enable calculation of a risk-adjusted rating for any of the items by a typical non-specific user belonging to the cohort. Personalized modifications of the cohort parameters for individual users are computed using the individual-specific history of ratings and stated preferences. These personalized parameters enable calculation of a individual-specific risk-adjusted rating of any of the items relevant to the user. The method is also applicable to recommending items suitable to groups of joint users such a group of friends or a family. A related method can be used to discover users who share similar preferences. Similar users to a given user are identified based on the closeness of the statistically computed personal-preference parameters.
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Citations
22 Claims
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1. A system for obtaining information on objects and for communication to users in one or more groups of users, the system comprising:
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a database for storing user-related information, wherein said user-related information includes a history of ratings of items by users in the one or more groups of users; a state updater for computing parameters based on the user-related information, including; computing parameters associated with the one or more groups, including for each of the one or more groups of users, computing group effect parameters characterizing predicted ratings of a set of items by a representative user of the group; and computing personalized statistical parameters for each of one or more individual users using the parameters associated with said user'"'"'s group of users and the stored history of ratings of items by said user; and a scorer for selectively calculating predicted ratings of the set of items by said user using the group effect parameters associated with said user'"'"'s group of users and the personalized statistical parameters for said user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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Specification