TY - JOUR
T1 - Knowing What the Patron Wants
T2 - Using Predictive Analytics to Transform Library Decision Making
AU - Litsey, Ryan
AU - Mauldin, Weston
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2018/1
Y1 - 2018/1
N2 - Predictive analytics and machine learning are burgeoning areas of professional practice for large corporations especially businesses that offer products and services to customers. The power to better understand the movement of large amounts of data in a company and the capability to deploy that data to meet a customer's needs is invaluable from a services standpoint. Some in libraries have theorized that this type of data usage could possibly be used in a library service environment as well. In this article, we demonstrate how you can develop and use machine learning algorithms and predictive analytics to proactively understand library behavior. Although libraries are good at data collection, we often rely on statics or old data for assessment. Utilizing a machine learning system, called the Automated Library Information Exchange Network (ALIEN), we can better understand the movement of the items in the collection and better serve the needs of our customers the library patrons.
AB - Predictive analytics and machine learning are burgeoning areas of professional practice for large corporations especially businesses that offer products and services to customers. The power to better understand the movement of large amounts of data in a company and the capability to deploy that data to meet a customer's needs is invaluable from a services standpoint. Some in libraries have theorized that this type of data usage could possibly be used in a library service environment as well. In this article, we demonstrate how you can develop and use machine learning algorithms and predictive analytics to proactively understand library behavior. Although libraries are good at data collection, we often rely on statics or old data for assessment. Utilizing a machine learning system, called the Automated Library Information Exchange Network (ALIEN), we can better understand the movement of the items in the collection and better serve the needs of our customers the library patrons.
KW - Access services
KW - Collection development
KW - Interlibrary loan
KW - Machine learning
KW - Predictive analytics
UR - http://www.scopus.com/inward/record.url?scp=85029749342&partnerID=8YFLogxK
U2 - 10.1016/j.acalib.2017.09.004
DO - 10.1016/j.acalib.2017.09.004
M3 - Article
AN - SCOPUS:85029749342
SN - 0099-1333
VL - 44
SP - 140
EP - 144
JO - Journal of Academic Librarianship
JF - Journal of Academic Librarianship
IS - 1
ER -