METHOD AND APPARATUS FOR RECOMMENDING IMAGE BASED ON USER PROFILE USING FEATURE-BASED COLLABORATIVE FILTERING TO RESOLVE NEW ITEM RECOMMENDATION
First Claim
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1. A method for recommending a multimedia image based on a user profile using feature-based collaborative filtering, the method comprising:
- building a model from a customer purchase list database for each predetermined time to generate the user profile; and
recommending the multimedia image, in which a purchase likeness score of a target user is at a predetermined level, by using the built model.
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Abstract
Provided are a method and apparatus for recommending an image based on a user profile using feature-based collaborative filtering. To generate the user profile, a model may be build from a customer purchase list database for each predetermined time. A multimedia image may be recommended, in which a purchase likeness score of a target user is high or at a predetermined level, by using the built model.
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Citations
19 Claims
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1. A method for recommending a multimedia image based on a user profile using feature-based collaborative filtering, the method comprising:
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building a model from a customer purchase list database for each predetermined time to generate the user profile; and recommending the multimedia image, in which a purchase likeness score of a target user is at a predetermined level, by using the built model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer-readable storage medium storing a program to recommend a multimedia image based on a user profile using feature-based collaborative filtering, comprising instructions to cause a computer or an apparatus to:
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build a model from a customer purchase list database for each predetermined time to generate the user profile; and recommend the multimedia image, in which a purchase likeness score of a target user is at a predetermined level, by using the built model. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. An apparatus for recommending a multimedia image based on a user profile using feature-based collaborative filtering, the apparatus comprising:
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an image dividing unit to divide an image into a plurality of meaning regions on all images of a customer purchase list database by using a feature vector; a feature extracting unit to extract a feature from the regions of the image divided by the image dividing unit to map the extracted feature on a feature space; a user profile generating unit to analyze the customer purchase list database, represent an background image purchased by a user as a set of feature clusters based on a user'"'"'s rating, and generate the user profile; a neighborhood setting unit to set a neighborhood by using multimedia image contents in profiles of a target user and an arbitrary user; and a recommendation list generating unit to generate a background image recommendation list on the basis of the neighborhood set by the neighborhood setting unit.
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Specification