Recommender system with AD-HOC, dynamic model composition

Details Recommender system with AD-HOC, dynamic model composition Recommender system with AD-HOC, dynamic model composition

2007-09-14

2010-11-16

Holmes, Michael (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

C706S046000, C706S047000

Reexamination Certificate

active

07836001

ABSTRACT:
One embodiment of the present invention provides recommender system for generating a recommendation of an item by combining a set of utility models adaptively to facilitate a decision-making process. The system includes a utility model database containing the set of utility models and a query module for receiving at least one query about the item from a querying entity. The system also includes a rule engine to specify a subset of utility models to be applied to the item and to specify a weight function of the specified utility models. Further included in the system is a set generator coupled to the utility model database, the query module, and the rule engine. The set generator computes a set of ratings by applying each of the utility model in the subset to the item and generates an overall rating for the item based on the weight function. The system further a communication module to return the overall rating.

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