loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Fang Wang

Affiliation: Pervasive ICT Research Centre, British Telecom Grou, United Kingdom

Keyword(s): Community organisation, recommendation, association analysis.

Related Ontology Subjects/Areas/Topics: Communities of Interest ; Computer-Supported Education ; e-Learning ; Information Technologies Supporting Learning ; Society, e-Business and e-Government ; Virtual Learning Environments ; Web Information Systems and Technologies

Abstract: This paper introduces an approach to organising multi-interest communities in which a user may belong to more than one community. The interests of a user are first identified from the resources he handled and then refined through interest association analysis in order to remove false or redundant interests. To each identified interest topic, users who have this topic are clustered together, so a series of multi-interest communities are formed. Because members of a community may have interest in the topics of other communities, the formed communities are also connected with each other, resulting in a kind of community network indicating interest associations of groups of users. Based on formed multi-interest communities, users will receive useful recommendations within their own communities and from other related communities. This provides users opportunities to obtain information beyond their current interests so new interests of the users may be discovered. The multi-interest commun ities approach has been examined on the EachMovie data. The experimental results showed that the formed multi-interest communities were more cohesive and condensed when users were clustered according to their refined interest topics. The users also received much more recommendations based on multi-interest communities. (More)

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 18.119.132.223

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:
Wang, F. (2007). MULTI-INTEREST COMMUNITIES AND COMMUNITY-BASED RECOMMENDATION. In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST; ISBN 978-972-8865-79-5; ISSN 2184-3252, SciTePress, pages 37-45. DOI: 10.5220/0001273800370045

@conference{webist07,
author={Fang Wang.},
title={MULTI-INTEREST COMMUNITIES AND COMMUNITY-BASED RECOMMENDATION},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST},
year={2007},
pages={37-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001273800370045},
isbn={978-972-8865-79-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST
TI - MULTI-INTEREST COMMUNITIES AND COMMUNITY-BASED RECOMMENDATION
SN - 978-972-8865-79-5
IS - 2184-3252
AU - Wang, F.
PY - 2007
SP - 37
EP - 45
DO - 10.5220/0001273800370045
PB - SciTePress