NLP-Based customer loyalty improvement recommender system (CLIRS2)

Katarzyna Anna Tarnowska; Zbigniew Ras

doi:10.3390/bdcc5010004

NLP-Based customer loyalty improvement recommender system (CLIRS2)

Katarzyna Anna Tarnowska, Zbigniew Ras

San Jose State University

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	4
Pages (from-to)	1-16
Number of pages	16
Journal	Big Data and Cognitive Computing
Volume	5
Issue number	1
DOIs	https://doi.org/10.3390/bdcc5010004
State	Published - Mar 2021
Externally published	Yes

ASJC Scopus Subject Areas

Management Information Systems
Information Systems
Computer Science Applications
Artificial Intelligence

Keywords

Action rules
Recommender systems
Sentiment analysis

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10.3390/bdcc5010004

Cite this

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title = "NLP-Based customer loyalty improvement recommender system (CLIRS2)",

keywords = "Action rules, Recommender systems, Sentiment analysis",

author = "Tarnowska, \{Katarzyna Anna\} and Zbigniew Ras",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = mar,

doi = "10.3390/bdcc5010004",

language = "English",

volume = "5",

pages = "1--16",

number = "1",

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TY - JOUR

T1 - NLP-Based customer loyalty improvement recommender system (CLIRS2)

AU - Tarnowska, Katarzyna Anna

AU - Ras, Zbigniew

PY - 2021/3

Y1 - 2021/3

KW - Action rules

KW - Recommender systems

KW - Sentiment analysis

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U2 - 10.3390/bdcc5010004

DO - 10.3390/bdcc5010004

M3 - Article

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EP - 16

JO - Big Data and Cognitive Computing

JF - Big Data and Cognitive Computing

IS - 1

M1 - 4

ER -

NLP-Based customer loyalty improvement recommender system (CLIRS2)

ASJC Scopus Subject Areas

Keywords

Access to Document

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