06092049 is referenced by 438 patents and cites 36 patents.

A method for recommending items to users using automated collaborative filtering stores profiles of users relating ratings to items in memory. Profiles of items may also be stored in memory, the item profiles associating users with the rating given to the item by that user or inferred for the user by the system The user profiles include additional information relating to the user or associated with the rating given to an item by the user. Item profiles are retrieved to determine which users have rated a particular item. Profiles of those users are accessed and the ratings are used to calculate similarity factors with respect to other users. The similarity factors, sometimes in connection with confidence factors, are used to select a set of neighboring users. The neighboring users are weighted based on their respective similarity factors, and a rating for an item contained in the domain is predicted. In one embodiment, items in the domain have features. In this embodiment, the values for features can be clustered, and the similarity factors incorporate assigned feature weights and feature value cluster weights. In some embodiments, item concepts are used to enhance recommendation accuracy.

Title
Method and apparatus for efficiently recommending items using automated collaborative filtering and feature-guided automated collaborative filtering
Application Number
597442
Publication Number
6092049
Application Date
March 14, 1997
Publication Date
July 18, 2000
Inventor
John Edward McNulty
Burlington
MA, US
Max E Metral
Boston
MA, US
David D Tiu
Somerville
MA, US
Yezdezard Lashkari
Cambridge
MA, US
Alexander Chislenko
Cambridge
MA, US
Agent
Michaelson & Wallace
Agent
Peter L Michaelson
Assignee
Microsoft Corporation
WA, US
IPC
G06F 19/00
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