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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F14%3A86092978%21RIV15-MSM-27240___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
This article describes an algorithm to facilitate the proper assignment of reviewers by finding an author's profile. It uses an original approach to analyzing publications published in digital libraries to get additional keywords based on NLP (natural language processing) techniques. Comparing profiles and finding similarities between them are performed afterwards in the vector space model in generally known ways. The result of our work is an algorithm to help conference organizers assign reviewers to registered publications. In many cases, the organizers have to know about the research area of all program committee members and have to select the appropriate opponent manually. The results of the algorithm functionality are verified by real data from two conferences, a local and global one. This article describes an algorithm to facilitate the proper assignment of reviewers by finding an author's profile. It uses an original approach to analyzing publications published in digital libraries to get additional keywords based on NLP (natural language processing) techniques. Comparing profiles and finding similarities between them are performed afterwards in the vector space model in generally known ways. The result of our work is an algorithm to help conference organizers assign reviewers to registered publications. In many cases, the organizers have to know about the research area of all program committee members and have to select the appropriate opponent manually. The results of the algorithm functionality are verified by real data from two conferences, a local and global one.
dcterms:title
Similarity of Authors' Profiles and Its Usage for Reviewers' Recommendation Similarity of Authors' Profiles and Its Usage for Reviewers' Recommendation
skos:prefLabel
Similarity of Authors' Profiles and Its Usage for Reviewers' Recommendation Similarity of Authors' Profiles and Its Usage for Reviewers' Recommendation
skos:notation
RIV/61989100:27240/14:86092978!RIV15-MSM-27240___
n4:aktivita
n8:S n8:P
n4:aktivity
P(GA13-08195S), S
n4:dodaniDat
n7:2015
n4:domaciTvurceVysledku
n11:3433390 n11:1042335
n4:druhVysledku
n12:D
n4:duvernostUdaju
n19:S
n4:entitaPredkladatele
n21:predkladatel
n4:idSjednocenehoVysledku
44877
n4:idVysledku
RIV/61989100:27240/14:86092978
n4:jazykVysledku
n15:eng
n4:klicovaSlova
text analysis; reviews; recommender systems; natural language processing; digital libraries
n4:klicoveSlovo
n9:recommender%20systems n9:text%20analysis n9:natural%20language%20processing n9:reviews n9:digital%20libraries
n4:kontrolniKodProRIV
[D86CB2878F33]
n4:mistoKonaniAkce
Korfu
n4:mistoVydani
New York
n4:nazevZdroje
Proceedings - 9th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2014
n4:obor
n22:IN
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:projekt
n5:GA13-08195S
n4:rokUplatneniVysledku
n7:2014
n4:tvurceVysledku
Ondrejka, Adam Zelinka, Ivan Šaloun, Petr
n4:typAkce
n14:WRD
n4:zahajeniAkce
2014-11-06+01:00
s:numberOfPages
6
n18:doi
10.1109/SMAP.2014.31
n16:hasPublisher
Institute of Electrical and Electronics Engineers
n20:isbn
978-1-4799-6813-8
n13:organizacniJednotka
27240