Paper Info
Title
A personalized recommender system for digital libraries
Abstract
This paper presents the evaluation of a Recommender System for scientific articles in digital libraries. This system is geared towards the Computer Science scientific community. Technologically speaking, the proposed system was developed under the Semantic Web perspective since it explores its emergent technologies such as the use of standard metadata for document description (i.e., Dublin Core), XML for user's profile description (i.e., Lattes Curriculum Vitae), and Web services and data providers (OAI) involved on the recommendations' generation process. The focus of this paper is the presentation and discussion of the extended experimental evaluation results obtained with a Web prototype.
Year
DOI
Venue
2008
10.1145/1666091.1666103
WebMedia
Keywords
Field
DocType
semantic web perspective,digital library,scientific article,dublin core,computer science scientific community,personalized recommender system,proposed system,profile description,document description,web service,web prototype,extended experimental evaluation result,recommender system,emerging technology,semantic web
Metadata,World Wide Web,Semantic Web Stack,Computer science,Web standards,Semantic Web,Data Web,Web modeling,Social Semantic Web,Web service,Multimedia
Conference
Citations 
PageRank 
References 
5
0.40
13
Authors
4
Name
Order
Citations
PageRank
Giseli Rabello Lopes110716.44
Maria Aparecida Martins Souto291.23
Leandro Krug Wives323825.10
José Palazzo Moreira de Oliveira418927.74