Improving recentness of the ICT book recommendation using an adaptive rules-based recommender system
by Mochammad Husni; Tubagus Mohammad Akhriza; Sarifuddin Madenda; Eri Prasetyo Wibowo
International Journal of Computer Applications in Technology (IJCAT), Vol. 70, No. 3/4, 2022

Abstract: The traditional library book Recommendation System (RS) has limitations where all recommendations only refer to internal book borrowing transactions; while the development of science and technology, especially in the field of ICT, has exceeded the theme of the recommended books. As a result, the recentness of the recommendations is questionable. As a solution, this article proposes an adaptive-rules-based book RS while at the same time introducing a dimension to measure the quality of recommendations namely recentness. It measures how up-to-date the recommended book theme is, against a set of trending themes extracted from external publications. An experiment was conducted to measure the book recommendations generated by the new RS in a library, compared to a collection of recent publications in the IEEE Xplore database. At first, the recentness of the recommendation was only around 23.5-57.1%, but it was successfully increased from 47.6% to 76.2% by the proposed RS.

Online publication date: Sat, 13-May-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com