Volume 7, Issue 3 (12-2020)
Human Information Interaction 2020, 7(3): 1-17 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Azimian M, Azimi A, Riahinia N. The Feasibility Study of Launching Book Recommendation System on the Basis of a Lending and Selling System of e-Books and Digital Taktab. Human Information Interaction 2020; 7 (3)
URL: http://hii.khu.ac.ir/article-1-2961-en.html
URL: http://hii.khu.ac.ir/article-1-2961-en.html
Kharazmi University
Abstract: (3381 Views)
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.
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.
References
1. Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible exten-sions. IEEE Transactions on Knowledge & Data Engineering(6), 734-749. [DOI:10.1109/TKDE.2005.99]
2. Adomavicius, G., & Tuzhilin, A. (2011). Context-aware recommender systems.). In G. &. Ado-mavicius, In Recommender systems handbook (pp. 217-253). Boston, MA: Springer. [DOI:10.1007/978-0-387-85820-3_7]
3. Ali, Z., Khusro, S., & Ullah, I. (2016). A hybrid book recommender system based on table of contents (toc) and association rule mining. In Proceedings of the 10th International Conference on Informatics and Systems (pp. 68-74). ACM. [DOI:10.1145/2908446.2908481]
4. Bakhshandan Moghaddam, Farshad. (1392). Trust-based recommender systems: Considering the concept of user expertise. Graduate University of Basic Sciences-Zanjan.
5. Biabangard, Ismail. (1382). Research methods in humanities and social sciences. Tehran: Mehraban Publishing Institute, first edition
6. Bouraga, S., Jureta, I., Faulkner, S., & Herssens, C. (2014). Knowledge-based recommendation sys-tems: a survey. International Journal of Intelligent Information Technologies (IJIIT), 10(2), 1-19. [DOI:10.4018/ijiit.2014040101]
7. Danaeifard, Hassan; Alwani, Seyed Mehdi; Adel azar. (1387). Qualitative research methodology in management. Tehran: Saffar.
8. Darzi, Mohammad; Moradi Manesh, Zahra; Asghari, Habibullah (1389). Introduction to Recommending Systems: Algorithms and Applications. Tehran: University Jihad.
9. Dilamghani, Mitra; Naghshineh, Nader; Moeini, Ali (1389). The next generation of libraries, with an emphasis on service intelligence. Academic Library Research and Information.
10. Geisler, G., McArthur, D., & Giersch, S. (2001). . Developing recommendation services for a digital library with uncertain and changing data. In Pro-ceedings of the 1st ACM/IEEE-CS joint confer-ence on Digital libraries, (pp. 199-200). ACM. [DOI:10.1145/379437.379483]
11. Geyer-Schulz, A., Neumann, A., & Thede, A. (2003). Others also use: A robust recommender system for scientific libraries. In International Conference on Theory and Practice of Digital Li-braries (pp. 113-125). Springer, Berlin, Heidelberg. [DOI:10.1007/978-3-540-45175-4_12]
12. Karimi, Mojgan. (1391). Customized page design for the user based on recommender systems. Fac-ulty of Industry. Khajeh Nasiruddin Tusi Univer-sity of Tehran.
13. Khadivar, Amina; Mirshahi, Soheila; Aghababaei, Sarah. (1395). Modeling and acquiring knowledge of organizational processes using case-based in-ference. Journal of Information Processing and Management, Thirty-second year, No. 2, 467-490.
14. Hafiz Nia, Mohammad (1387). Introduction to research methodology in humanities. Tehran: Samat Publications.
15. Hristakeva, M., Kershaw, D., Rossetti, M., Knoth, P., Pettit, B., Vargas, S., & Jack, K. (2017). Building recommender systems for scholarly in-formation. In Proceedings of the 1st workshop on scholarly web mining . ACM., 25-32. [DOI:10.1145/3057148.3057152]
16. Huang ,Z., Chung, W., Ong, T. H., & Chen, H. (2001). A graph-based recommender system for digital library. In Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital librar-ies, (pp. 65-73). ACM. [DOI:10.1145/544220.544231]
17. Jomsri, P. (2014). Book recommendation system for digital library based on user profiles by using association rule. In Innovative Computing Tech-nology (INTECH), 2014 Fourth International Conference on (pp. 130-134). IEEE. [DOI:10.1109/INTECH.2014.6927766]
18. Jung, S., Harris, K., Webster, J., & Herlocker, J. L. (2004). SERF: integrating human recommenda-tions with search. In Proceedings of the thirteenth ACM international conference on Information and knowledge management ACM., 571-580. [DOI:10.1145/1031171.1031277]
19. Martinez l, Manuel J. Barranco, L.G.P. & Espinilla, M. (2008). A knowledge based recommender sys-tem with multigranular linguistic information. In-ternational Journal of Computational Intelligence Systems 1(3), 225-236. [DOI:10.1080/18756891.2008.9727620]
20. Niknam, Mehdi; Qolipour, Leila (1394). Proposing systems; User Assistant in the Digital Age. Islamic sites and internet studies.
21. Parekh, P.,Mishra, I., Alva, A. & Singh, V. (2018). Web Based Hybrid Book Recommender System Using Genetic. International Research Journal of Engineering and Technology (IRJET).
22. Serrano-Guerrero, J., Herrera-Viedma, E., Olivas, J. A., Cerezo, A., & Romero, F. P. (2011). A google wave-based fuzzy recommender system to dis-seminate information in University Digital Librar-ies 2.0. Information Sciences, 181(9), 1503-1516. [DOI:10.1016/j.ins.2011.01.012]
23. Singh, A. P., & Murthy, T. A. V. (2005). Library without walls. Ess Ess Publication.
24. Whitney, C., & Schiff, L. R. (2006). The Melvyl recommender project: Developing library recom-mendation services. D-Lib Maganize. Vol. 12, No. 12. [DOI:10.1045/december2006-whitney]
25. Yousefabadi, Fatemeh; Damghani, Najmeh; Shamsi, beloved. (1391). Improve the database of recommender systems and provide reasonable suggestions based on users' tastes. 4th Iranian Conference on Electrical and Electronic Engineer-ing, Gonabad, Islamic Azad University, Gonabad Branch.
26. Zare, Mohammad Sadegh; Zolghadri Jahromi, Mansour; Rajabzadeh, Hussein (1393). Provide a solution to improve the recommender system by building a user profile and optimizing the evalua-tion benchmark. The First National Conference on Computer Engineering Research, Tehran, Farzin Center for Sustainable Development of Science and Technology.
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
