Maryam Azimian, Ali Azimi, Nosrat Riahinia,
Volume 7, Issue 3 (12-2020)
Abstract
Background: The study was conducted to achieve three axes of goals (users, publishers and the system) by way of objectives related to: A) Users - measuring the level of their satisfaction with Taktab system and also use of various methods of data retrieval; B) Publishers - Measuring the level of their satisfaction with Taktab system and also their expectations of the existence of a recommending arrangement in the Taktab system; C) Taktab system and assessment of the five components (facilities and services, equipment, finance, admission, knowledge and skills) in it as well as measuring the shortcomings of the recommending scheme in the system.
Method: A descriptive survey inspecting five components of feasibility for using Taktab system besides an analytical case study was used. In the study, 2 researcher-made questionnaires for users (50 actual users) and publishers (18 publishers available by sampling) as well as interviews, an evaluation and observation checklists were incorporated. The population was three groups of managers, information technology engineers and actual users of the Taktab system. According to the set objectives Excel software tables were used to describe the data and a chi-square test for checklist evaluation. Cronbach's Alpha was used to evaluate the reliability of the opinion poll.
Findings: Findings could be used as a first step in examining the possibilities of the Taktab system, the level of users, interest and publishers, to create a book recommending system, and also the feasibility study of creating this system. Findings indicate that the use of recommender systems in digital library information retrieval can be a better way to identify the needs and interests and information resources of users and publishers and be an effective step to improve services in digital libraries. Focusing on the use of these systems can also be used as a new way for information organization professionals and designers of information retrieval systems to advance their goals in the age of technology and information retrieval.
Conclusion: The initial steps to implement the design of a recommender system and the executive structure related to this system have been created in it. Based on the result, in the Taktab structure, it is possible to design and build a book recommendation system.
