초록 ▼

An automated collaborative filtering (ACF) system for recommending at least one item to a first user based on similarity in preference of the user as compared with other users. The ACF system stores rating data for items provided by users of the system. Upon request of the first user, the system det

An automated collaborative filtering (ACF) system for recommending at least one item to a first user based on similarity in preference of the user as compared with other users. The ACF system stores rating data for items provided by users of the system. Upon request of the first user, the system determines similarity values for the first user as compared with other users that have provided rating data for items that the first user has also rated. Based on the similarity values, a subgroup of users is selected that is then used to provide recommendations to the first user.

대표청구항 ▼

[ What is claimed is:] [1.] A method for selecting an item from a plurality of items to recommend to a first user of a plurality of users, the method comprising:obtaining ratings data for at least some of the items in the plurality of items from first ones of the plurality of users, wherein the rati

[ What is claimed is:] [1.] A method for selecting an item from a plurality of items to recommend to a first user of a plurality of users, the method comprising:obtaining ratings data for at least some of the items in the plurality of items from first ones of the plurality of users, wherein the ratings data for each of the respective items includes information about the overall ratings distribution for the item;locating a first common item that the first user and a second user in the plurality of users have provided ratings data for;transforming the ratings data for the first common item from the ratings data for the first common item provided by the first ones of the plurality of users to provide first transformed ratings data;computing a range of randomized transformed ratings data for the first common item from the ratings data for the first common item provided by the first ones of the plurality of users;determining a test statistic for the first common item from the first transformed ratings data and the range of randomized transformed ratings data; anddetermining a similarity value from the test statistic for the first user with respect to the second user.