User friendly NPS-based recommender system for driving business revenue

Zbigniew W. Ras; Katarzyna A. Tarnowska; Jieyan Kuang; Lynn Daniel; Doug Fowler

doi:10.1007/978-3-319-60837-2_4

User friendly NPS-based recommender system for driving business revenue

Zbigniew W. Ras, Katarzyna A. Tarnowska, Jieyan Kuang, Lynn Daniel, Doug Fowler

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	Rough Sets - International Joint Conference, IJCRS 2017, Proceedings,
Editors	Dun Liu, Yiyu Yao, Beata Zielosko, Davide Ciucci, Lech Polkowski, Piotr Artiemjew, Dominik Slezak
Pages	34-48
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-319-60837-2_4
State	Published - 2017
Externally published	Yes
Event	International Joint Conference on Rough Sets, IJCRS 2017 - Olsztyn, Poland Duration: Jul 3 2017 → Jul 7 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10313 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Joint Conference on Rough Sets, IJCRS 2017
Country/Territory	Poland
City	Olsztyn
Period	7/3/17 → 7/7/17

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Actionable knowledge mining
NPS
Recommender system
Semantic similarity
Sentiment analysis
Visualization

Access to Document

10.1007/978-3-319-60837-2_4

Cite this

Ras, Z. W., Tarnowska, K. A., Kuang, J., Daniel, L., & Fowler, D. (2017). User friendly NPS-based recommender system for driving business revenue. In D. Liu, Y. Yao, B. Zielosko, D. Ciucci, L. Polkowski, P. Artiemjew, & D. Slezak (Eds.), Rough Sets - International Joint Conference, IJCRS 2017, Proceedings, (pp. 34-48). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10313 LNAI). https://doi.org/10.1007/978-3-319-60837-2_4

User friendly NPS-based recommender system for driving business revenue. / Ras, Zbigniew W.; Tarnowska, Katarzyna A.; Kuang, Jieyan et al.
Rough Sets - International Joint Conference, IJCRS 2017, Proceedings,. ed. / Dun Liu; Yiyu Yao; Beata Zielosko; Davide Ciucci; Lech Polkowski; Piotr Artiemjew; Dominik Slezak. 2017. p. 34-48 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10313 LNAI).

Research output: Chapter or Contribution to Book › Literary contribution

Ras, ZW, Tarnowska, KA, Kuang, J, Daniel, L & Fowler, D 2017, User friendly NPS-based recommender system for driving business revenue. in D Liu, Y Yao, B Zielosko, D Ciucci, L Polkowski, P Artiemjew & D Slezak (eds), Rough Sets - International Joint Conference, IJCRS 2017, Proceedings,. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10313 LNAI, pp. 34-48, International Joint Conference on Rough Sets, IJCRS 2017, Olsztyn, Poland, 7/3/17. https://doi.org/10.1007/978-3-319-60837-2_4

Ras ZW, Tarnowska KA, Kuang J, Daniel L, Fowler D. User friendly NPS-based recommender system for driving business revenue. In Liu D, Yao Y, Zielosko B, Ciucci D, Polkowski L, Artiemjew P, Slezak D, editors, Rough Sets - International Joint Conference, IJCRS 2017, Proceedings,. 2017. p. 34-48. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-60837-2_4

Ras, Zbigniew W. ; Tarnowska, Katarzyna A. ; Kuang, Jieyan et al. / User friendly NPS-based recommender system for driving business revenue. Rough Sets - International Joint Conference, IJCRS 2017, Proceedings,. editor / Dun Liu ; Yiyu Yao ; Beata Zielosko ; Davide Ciucci ; Lech Polkowski ; Piotr Artiemjew ; Dominik Slezak. 2017. pp. 34-48 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b1baa66866134331980d686c3eb23c5d,

title = "User friendly NPS-based recommender system for driving business revenue",

keywords = "Actionable knowledge mining, NPS, Recommender system, Semantic similarity, Sentiment analysis, Visualization",

author = "Ras, \{Zbigniew W.\} and Tarnowska, \{Katarzyna A.\} and Jieyan Kuang and Lynn Daniel and Doug Fowler",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; International Joint Conference on Rough Sets, IJCRS 2017 ; Conference date: 03-07-2017 Through 07-07-2017",

year = "2017",

doi = "10.1007/978-3-319-60837-2\_4",

language = "English",

isbn = "9783319608365",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "34--48",

editor = "Dun Liu and Yiyu Yao and Beata Zielosko and Davide Ciucci and Lech Polkowski and Piotr Artiemjew and Dominik Slezak",

booktitle = "Rough Sets - International Joint Conference, IJCRS 2017, Proceedings,",

}

TY - GEN

T1 - User friendly NPS-based recommender system for driving business revenue

AU - Ras, Zbigniew W.

AU - Tarnowska, Katarzyna A.

AU - Kuang, Jieyan

AU - Daniel, Lynn

AU - Fowler, Doug

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

KW - Actionable knowledge mining

KW - NPS

KW - Recommender system

KW - Semantic similarity

KW - Sentiment analysis

KW - Visualization

UR - https://www.scopus.com/pages/publications/85022336389

UR - https://www.scopus.com/inward/citedby.url?scp=85022336389&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-60837-2_4

DO - 10.1007/978-3-319-60837-2_4

M3 - Literary contribution

AN - SCOPUS:85022336389

SN - 9783319608365

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 34

EP - 48

BT - Rough Sets - International Joint Conference, IJCRS 2017, Proceedings,

A2 - Liu, Dun

A2 - Yao, Yiyu

A2 - Zielosko, Beata

A2 - Ciucci, Davide

A2 - Polkowski, Lech

A2 - Artiemjew, Piotr

A2 - Slezak, Dominik

T2 - International Joint Conference on Rough Sets, IJCRS 2017

Y2 - 3 July 2017 through 7 July 2017

ER -

User friendly NPS-based recommender system for driving business revenue

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Cite this