TY - GEN
T1 - Evaluation Index to Find Relevant Papers
T2 - Thematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
AU - Nakatoh, Tetsuya
AU - Hirokawa, Sachio
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - During a research survey, it is very important to quickly find suitable papers. It is common practice for researchers to select relevant papers by searching using query keywords, ranking those papers by citation number, and checking in order from the highest ranked papers. However, if a paper that had a query keyword as a non-primary word had many citations, it would hinder any attempt to quickly find the appropriate paper. We have already proposed a Focused Citation Count (FCC) that supports the finding of suitable papers by setting the number of citations as a more appropriate evaluation index by properly focusing on cited papers which are the sources of citation counts. In this study, we propose an improved method of FCC. Since FCC is easily affected by the size of the cited number, this proposal aims to reduce its characteristics. We evaluate the proposed method using actual paper data and try to confirm its effectiveness.
AB - During a research survey, it is very important to quickly find suitable papers. It is common practice for researchers to select relevant papers by searching using query keywords, ranking those papers by citation number, and checking in order from the highest ranked papers. However, if a paper that had a query keyword as a non-primary word had many citations, it would hinder any attempt to quickly find the appropriate paper. We have already proposed a Focused Citation Count (FCC) that supports the finding of suitable papers by setting the number of citations as a more appropriate evaluation index by properly focusing on cited papers which are the sources of citation counts. In this study, we propose an improved method of FCC. Since FCC is easily affected by the size of the cited number, this proposal aims to reduce its characteristics. We evaluate the proposed method using actual paper data and try to confirm its effectiveness.
UR - http://www.scopus.com/inward/record.url?scp=85069883525&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069883525&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22660-2_41
DO - 10.1007/978-3-030-22660-2_41
M3 - Conference contribution
AN - SCOPUS:85069883525
SN - 9783030226596
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 555
EP - 566
BT - Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer Verlag
Y2 - 26 July 2019 through 31 July 2019
ER -