loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yu Fujimoto 1 ; Hideitsu Hino 2 and Noboru Murata 2

Affiliations: 1 Aoyama Gakuin University, Japan ; 2 Waseda Univ., Japan

Keyword(s): Bradley-Terry model, Mixture model, EM algorithm, Preference map, Data visualization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Pre-Processing and Post-Processing for Data Mining ; Symbolic Systems ; Visual Data Mining and Data Visualization

Abstract: In this paper, we propose a visualization technique of a statistical relation of users and preference of items based on a mixture model. In our visualization, items are given as points in a few dimensional preference space, and user specific preferences are given as lines in the same space. The relationship between items and user preferences are intuitively interpreted via projections from points onto lines. As a primitive implementation, we introduce a mixture of the Bradley-Terry models, and visualize the relation between items and user preferences with benchmark data sets.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.193.77.196

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Fujimoto, Y.; Hino, H. and Murata, N. (2009). ITEM-USER PREFERENCE MAPPING WITH MIXTURE MODELS - Data Visualization for Item Preference. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR; ISBN 978-989-674-011-5; ISSN 2184-3228, SciTePress, pages 105-111. DOI: 10.5220/0002274001050111

@conference{kdir09,
author={Yu Fujimoto. and Hideitsu Hino. and Noboru Murata.},
title={ITEM-USER PREFERENCE MAPPING WITH MIXTURE MODELS - Data Visualization for Item Preference},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR},
year={2009},
pages={105-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002274001050111},
isbn={978-989-674-011-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR
TI - ITEM-USER PREFERENCE MAPPING WITH MIXTURE MODELS - Data Visualization for Item Preference
SN - 978-989-674-011-5
IS - 2184-3228
AU - Fujimoto, Y.
AU - Hino, H.
AU - Murata, N.
PY - 2009
SP - 105
EP - 111
DO - 10.5220/0002274001050111
PB - SciTePress