Identifying user and group information from collaborative filtering datasets

被引：1

作者：

Griffith, Josephine ^{[1
]}

O'riordan, Colm

Sorensen, Humphrey

机构：

[1] Natl Univ Ireland, Dept Informat Technol, Galway, Ireland

[2] Univ Coll Cork, Dept Comp Sci, Cork, Ireland

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2007年 / 21卷 / 02期

关键词：

collaborative filtering; user model; graph representations;

D O I：

10.1142/S0218001407005405

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper considers the information that can be captured about users and groups from a collaborative filtering dataset. The aims of the paper are to create a user model and to use this model to explain the performance of a collaborative filtering approach. A number of user and group features are defined and the performance of a collaborative filtering system in producing recommendations for users with different feature values is tested. Graph-based representations of the collaborative filtering space are presented and these are used to de. ne some of the user and group features as well as being used in a recommendation task.

引用

页码：291 / 310

页数：20

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