PMSC-UGR: A Test Collection for Expert Recommendation Based on PubMed and Scopus

被引：6

作者：

Albusac, Cesar ^{[1
]}

de Campos, Luis M. ^{[1
]}

Fernandez-Luna, Juan M. ^{[1
]}

Huete, Juan F. ^{[1
]}

机构：

[1] Univ Granada, Dept Ciencias Computac & Inteligencia Artificial, ETSI Informat & Telecomunicac, CITIC UGR, E-18071 Granada, Spain

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2018 | 2018年 / 11160卷

关键词：

Test collection; Authors disambiguation; Expert finding; Document filtering; MEDLINE/PubMed; Scopus;

D O I：

10.1007/978-3-030-00374-6_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new test document collection, PMSC-UGR, is presented in this paper. It has been built using a large subset of MEDLINE/PubMed scientific articles, which have been subjected to a disambiguation process to identify unequivocally who are their authors (using ORCID). The collection has also been completed by adding citations to these articles available through Scopus/Elsevier's API. Although this test collection can be used for different purposes, we focus here on its use for expert recommendation and document filtering, reporting some preliminary experiments and their results.

引用

页码：34 / 43

页数：10

共 13 条

[1]

Bailey P., 2007, ACM SIGIR Forum, P42

[2] Expertise Retrieval [J].

Balog, Krisztian ;

Fang, Yi ;

de Rijke, Maarten ;

Serdyukov, Pavel ;

Si, Luo .

FOUNDATIONS AND TRENDS IN INFORMATION RETRIEVAL, 2012, 6 (2-3) :127-256

[3] Research-paper recommender systems: a literature survey [J].

Beel, Joeran ;

Gipp, Bela ;

Langer, Stefan ;

Breitinger, Corinna .

INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES, 2016, 17 (04) :305-338

[4] Recommender systems survey [J].

Bobadilla, J. ;

Ortega, F. ;

Hernando, A. ;

Gutierrez, A. .

KNOWLEDGE-BASED SYSTEMS, 2013, 46 :109-132

[5]

Carterette B., 2008, Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '08, P651, DOI [DOI 10.1145/1390334.1390445, 10.1145/1390334.1390445]

[6]

Carterette Ben., 2007, P CIKM, P643, DOI DOI 10.1145/1321440.1321530

[7]

Craswell N., 2005, P 14 TREC C

[8] Comparing Machine Learning and Information Retrieval-Based Approaches for Filtering Documents in a Parliamentary Setting [J].

de Campos, Luis M. ;

Fernandez-Luna, Juan M. ;

Huete, Juan F. ;

Redondo-Exposito, Luis .

SCALABLE UNCERTAINTY MANAGEMENT (SUM 2017), 2017, 10564 :64-77

[9] Information filtering: Overview of issues, research and systems [J].

Hanani, U ;

Shapira, B ;

Shoval, P .

USER MODELING AND USER-ADAPTED INTERACTION, 2001, 11 (03) :203-259

[10] The LExR Collection for Expertise Retrieval in Academia [J].

Mangaravite, Vitor ;

Santos, Rodrygo L. T. ;

Ribeiro, Isac S. ;

Goncalves, Marcos Andre ;

Laender, Alberto H. F. .

SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2016, :721-724

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