Content-Based Recommender Systems plus DBpedia Knowledge = Semantics-Aware Recommender Systems

被引：11

作者：

Basile, Pierpaolo ^{[1
]}

Musto, Cataldo ^{[1
]}

de Gemmis, Marco ^{[1
]}

Lops, Pasquale ^{[1
]}

Narducci, Fedelucio ^{[1
]}

Semeraro, Giovanni ^{[1
]}

机构：

[1] Univ Bari Aldo Moro, Dept Comp Sci, I-70125 Bari, Italy

来源：

SEMANTIC WEB EVALUATION CHALLENGE | 2014年 / 475卷

关键词：

D O I：

10.1007/978-3-319-12024-9_21

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper provides an overview of the work done in the ESWC Linked Open Data-enabled Recommender Systems challenge, in which we proposed an ensemble of algorithms based on popularity, Vector Space Model, Random Forests, Logistic Regression, and PageRank, running on a diverse set of semantic features. We ranked 1st in the top-N recommendation task, and 3rd in the tasks of rating prediction and diversity.

引用

页码：163 / 169

页数：7

共 6 条

[1] Random forests
Breiman, L
[J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32
[2] Fast and Accurate Annotation of Short Texts with Wikipedia Pages
Ferragina, Paolo
Scaiella, Ugo
[J]. IEEE SOFTWARE, 2012, 29 (01) : 70 - 75
[3] Topic-sensitive PageRank: A context-sensitive ranking algorithm for Web search
Haveliwala, TH
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2003, 15 (04) : 784 - 796
[4] Musto C, 2011, LECT NOTES BUS INF P, V85, P270
[5] Passant A, 2010, LECT NOTES COMPUT SC, V6497, P209, DOI 10.1007/978-3-642-17749-1_14
[6] Widdows D, 2003, 41ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, P136

← 1 →