Marketing of Library Services and Evaluation of Service Utilization through Classification Method

Abstract

Now-a-days the role of social media is becoming more popular in academic libraries to market the resources and services among prospective patrons. The conventional method is offering various library services that have to be transformed into the application of recent technology associated with internet-based technologies. In addition, library users need and demand is also changing frequently
based on the services received from the library. Hence there is a huge scope for developing an efficient method for analyzing the usage level of users based on library services. This study aimed to classify the utilization of library services by the library users and also to address the issue of multiple-view classification by integrating records that have different views. To explore consent knowledge, this
research work views the variations as regularization. Performance metrics are used and evaluated the performance of the proposed classification. Results indicated that the proposed classifier outperforms the existing classifiers.