Topographic organization of user preference patterns in collaborative filtering

Title:

Topographic organization of user preference patterns in collaborative filtering

Creator:

Tiňo, Peter and Polčicová, Gabriela

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:4119cae5-0538-4192-be07-d2308ebd92d2
uuid:4119cae5-0538-4192-be07-d2308ebd92d2

Subject:

collaborative filtering, expectation-maximization algorithm, self-organizing maps, and topographic ordering

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

We introduce topographic versions of two latent class models for collaborative filtering. Topographic organization of latent classes makes orientation in rating/preference patterns captured by the latent classes easier and more systematic. Furthermore, since we deal with probabilistic models of the data, we can readily use tools from probability and information theories to interpret and visualize information extracted by the model. We apply our models to a large collection of user ratings for films.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2003 Volume:13 | Number:3

Harvested from:

CDK

Metadata only:

false