
>> Presentations and Recordings <<
Except for sessions marked as "Physical session only (no live streaming)", all sessions are accessible to physical and virtual participants.
Physical session (+ live streaming with Zoom)
Traditionally, librarians evaluate their book collections by conducting a manual analysis of each book to determine whether it should be added to or removed from the library's collection. This process can be time-consuming, and it often leads to inconsistencies in the evaluation process. With LIBsense, librarians can streamline this process and make more accurate decisions about their book collections.
LIBsense uses machine learning algorithms to analyze various data points, such as usage statistics, citation analysis, and publication date, to determine whether a book should be added to or removed from a library's collection. The system provides librarians with a list of recommended actions for each book, which they can accept or reject based on their own expertise.
Demonstration
Alma
Developers’ Day
![Mehmet Celik, Expert Software Architect, KU Leuven/LIBIS [photo]](https://5d67d7d2fab6aa2c003d-a12b070af57c9bbc32c5a41a66298b76.ssl.cf1.rackcdn.com/1774/profile_bfd9f6d8b5ef0f2e8adc7502d836a15f.png)