US 8,429,175 B2 · Method and apparatus for default rating estimation

Abstract

A method of estimating a default rating of a rated dataset is provided, where the dataset comprises at least one series of ratings associated with at least one user and each series comprise ratings associated with at least two items. For a reference user and an item for which a rated value is missing the item's average rating, ir, the reference users average rating, Ru, and the datasets average rating, dr, is collected. A Poisson distribution of the reference users rating is then generated on the basis of the reference users average rating. A random Poisson rating, ur, is calculated on the basis of the Poisson distribution, and a default rating, r, is estimated by weighting the random Poisson rating on the basis of the items average rating, the users average rating and the datasets average rating.

Claims19

Dependent claims

A method implemented by a default rating engine for estimating a default rating given to an item in a rated dataset by a reference user that has not yet explicitly rated that item, wherein said rated dataset comprises one or more series of ratings made by one or more respective users, each series comprising ratings of at least two items, said method comprising:

recognizing a trigger for estimating said default rating;
collecting an item average rating as the average rating given to said item by one or more users other than the reference user, a reference user average rating as the average rating given to other items by the reference user, and a dataset average rating as the average rating given to all items in the rated dataset by all users;
generating a Poisson distribution of ratings given by the reference user on the basis of the reference user average rating,
calculating a random Poisson rating on the basis of said Poisson distribution, and
estimating said default rating by weighting said random Poisson rating on the basis of the item average rating, the reference user average rating, and the dataset average rating.

2 more elements

An apparatus configured to estimate a default rating given to an item in a rated dataset by a reference user that has not yet explicitly rated that item, wherein said rated dataset comprises one or more series of ratings made by one or more respective users, each series comprising ratings of at least two items, said apparatus comprising one or more processors configured to implement:

a collecting unit configured, responsive to recognizing a trigger for estimating said default rating, to collect an item average rating as the average rating given to said item by one or more users other than the reference user, a reference user average rating as the average rating given to other items by the reference user, and a dataset average rating as the average rating given to all items in the rated dataset by all users,
a generating unit configured to generate a Poisson distribution of ratings given by the reference user on the basis of the reference user average rating,
a calculating unit configured to calculate a random Poisson rating on the basis of said Poisson distribution, and to estimate said default rating by weighting said random Poisson rating on the basis of the item average rating, the reference user average rating, and the dataset average rating.

Dependencies are inferred from the claim text.

Method and apparatus for default rating estimation

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Method and apparatus for default rating estimation

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Abstract

Claims19