Interactions between stereotypes

Zoe Lock; Daniel Kudenko

Interactions between stereotypes

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Despite the fact that stereotyping has been used many times in recommender systems, little is known about why stereotyping is successful for some users but unsuccessful for others. To begin to address this issue, we conducted experiments in which stereotype-based user models were automatically constructed and the performance of overall user models and individual stereotypes observed. We have shown how concepts from data fusion, a previously unconnected field, can be applied to illustrate why the performance of stereotyping varies between users. Our study illustrates clearly that the interactions between stereotypes, in terms of their ratings of items, is a major factor in overall user model performance and that poor performance on the part of an individual stereotype need not directly cause poor overall user model performance.

Original language	English
Title of host publication	ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS, PROCEEDINGS
Editors	V Wade, H Ashman, B Smyth
Place of Publication	BERLIN
Publisher	Springer
Pages	172-181
Number of pages	10
ISBN (Print)	3-540-34696-1
Publication status	Published - 2006
Event	4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems - Dublin Duration: 21 Jun 2006 → 23 Jun 2006

Conference

Conference	4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
City	Dublin
Period	21/06/06 → 23/06/06

Cite this

@inproceedings{e7d803c2fc4043b19632230ce1c4b14d,

title = "Interactions between stereotypes",

abstract = "Despite the fact that stereotyping has been used many times in recommender systems, little is known about why stereotyping is successful for some users but unsuccessful for others. To begin to address this issue, we conducted experiments in which stereotype-based user models were automatically constructed and the performance of overall user models and individual stereotypes observed. We have shown how concepts from data fusion, a previously unconnected field, can be applied to illustrate why the performance of stereotyping varies between users. Our study illustrates clearly that the interactions between stereotypes, in terms of their ratings of items, is a major factor in overall user model performance and that poor performance on the part of an individual stereotype need not directly cause poor overall user model performance.",

author = "Zoe Lock and Daniel Kudenko",

year = "2006",

language = "English",

isbn = "3-540-34696-1",

pages = "172--181",

editor = "V Wade and H Ashman and B Smyth",

booktitle = "ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS, PROCEEDINGS",

publisher = "Springer",

address = "Germany",

note = "4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems ; Conference date: 21-06-2006 Through 23-06-2006",

}

TY - GEN

T1 - Interactions between stereotypes

AU - Lock, Zoe

AU - Kudenko, Daniel

PY - 2006

Y1 - 2006

N2 - Despite the fact that stereotyping has been used many times in recommender systems, little is known about why stereotyping is successful for some users but unsuccessful for others. To begin to address this issue, we conducted experiments in which stereotype-based user models were automatically constructed and the performance of overall user models and individual stereotypes observed. We have shown how concepts from data fusion, a previously unconnected field, can be applied to illustrate why the performance of stereotyping varies between users. Our study illustrates clearly that the interactions between stereotypes, in terms of their ratings of items, is a major factor in overall user model performance and that poor performance on the part of an individual stereotype need not directly cause poor overall user model performance.

AB - Despite the fact that stereotyping has been used many times in recommender systems, little is known about why stereotyping is successful for some users but unsuccessful for others. To begin to address this issue, we conducted experiments in which stereotype-based user models were automatically constructed and the performance of overall user models and individual stereotypes observed. We have shown how concepts from data fusion, a previously unconnected field, can be applied to illustrate why the performance of stereotyping varies between users. Our study illustrates clearly that the interactions between stereotypes, in terms of their ratings of items, is a major factor in overall user model performance and that poor performance on the part of an individual stereotype need not directly cause poor overall user model performance.

M3 - Conference contribution

SN - 3-540-34696-1

SP - 172

EP - 181

BT - ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS, PROCEEDINGS

A2 - Wade, V

A2 - Ashman, H

A2 - Smyth, B

PB - Springer

CY - BERLIN

T2 - 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems

Y2 - 21 June 2006 through 23 June 2006

ER -