Words Algorithm Collection - finding closely related open access books using text mining techniques
Open access platforms and retail websites are both trying to present the most relevant offerings to their patrons. Retail websites deploy recommender systems that collect data about their customers. These systems are successful but intrude on privacy. As an alternative, this paper presents an algor...
Main Author: | Ronald Snijder |
---|---|
Format: | Article |
Language: | English |
Published: |
openjournals.nl
2021-08-01
|
Series: | Liber Quarterly: The Journal of European Research Libraries |
Subjects: | |
Online Access: | https://test.openjournals.nl/liberquarterly/article/view/10938 |
Similar Items
-
Words Algorithm Collection - finding closely related open access books using text mining techniques
by: Ronald Snijder
Published: (2021-08-01) -
Open access book usage data – how close is COUNTER to the other kind?
by: Ronald Snijder
Published: (2021-04-01) -
The deliverance of open access books : Examining usage and dissemination
by: Snijder, Ronald
Published: (2019) -
Using Association Rules to Find Personalized BookRecommendation for Library
by: Chui-Cheng Chen
Published: (2004-09-01) -
KLOSURE: Closing in on open–ended patient questionnaires with text mining
by: Irena Spasić, et al.
Published: (2019-11-01)