loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Matteo Manca ; Ludovico Boratto and Salvatore Carta

Affiliation: Università di Cagliari, Italy

ISBN: 978-989-758-035-2

Keyword(s): Social Bookmarking, Friend Recommendation, Tagging System.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Retrieval ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Pattern Recognition ; Semantics and Social Media ; Society, e-Business and e-Government ; Software Engineering ; Web Information Systems and Technologies

Abstract: The growth of the Web 2.0 has brought to a widespread use of social media systems. In particular, social bookmarking systems are a form of social media system that allows to tag bookmarks of interest for a user and to share them. The increasing popularity of these systems leads to an increasing number of active users and this implies that each user interacts with too many users ("social interaction overload"). In order to overcome this problem, we present a friend recommender system in the social bookmarking domain. Recommendations are produced by mining user behavior in a tagging system, analyzing the bookmarks tagged by a user and the frequency of each used tag. Experimental results highlight that, by analyzing both the tagging and bookmarking behavior of a user, our approach is able to mine preferences in a more accurate way, with respect to state-of-the-art approaches that consider only tags.

PDF ImageFull Text

Download
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 54.162.159.33

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:
Manca M., Boratto L. and Carta S. (2014). Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System.In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 331-338. DOI: 10.5220/0005000203310338

@conference{data14,
author={Matteo Manca and Ludovico Boratto and Salvatore Carta},
title={Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={331-338},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005000203310338},
isbn={978-989-758-035-2},
}

TY - CONF

JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Mining User Behavior in a Social Bookmarking System - A Delicious Friend Recommender System
SN - 978-989-758-035-2
AU - Manca M.
AU - Boratto L.
AU - Carta S.
PY - 2014
SP - 331
EP - 338
DO - 10.5220/0005000203310338

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.