فهرست منابع
جانمحمدی، فریبا. 1397. بررسی وضعیت نظامهای توصیهگر و قابلیتهای شخصیسازی خدمات در نرمافزارهای کتابخانههای دیجیتالی ایران. پایاننامه کارشناسی ارشد منتشرشده. دانشگاه علامه طباطبایی.
خویدکی، سمانه. 1389. ارائه چهارچوب برای شخصیسازی خدمات در کتابخانههای دانشگاهی دیجیتال. پایاننامه دکتری منتشرشده. دانشگاه الزهرا.
خویدکی، سمانه، سعید رضایی شریفآبادی و امیر غائبی. 1400الف. پروفایل کاربر در شخصیسازی خدمات کتابخانههای دیجیتال دانشگاهی: مطالعه دلفی. کتابداری و اطلاعرسانی 25 (2): 1-23.
_____. 1400ب. وضعیت شخصیسازی خدمات در کتابخانههای دانشگاهی دیجیتال ایران. تحقیقات کتابداری و اطلاعرسانی دانشگاهی 56 (1): 1-42.
_____. 1401. عوامل مؤثر بر توسعه و ارتقای شخصیسازی خدمات در کتابخانههای دیجیتال در دانشگاههای ایران. پژوهشنامه کتابداری و اطلاعرسانی 12 (2): 302-326.
شیخشعاعی، فاطمه، نادر نقشینه، سیروس علیدوستی، و مریم ناخدا. 1396. بنیانی برای طراحی مدل بلوغ کتابخانه دیجیتالی: کاربرد روش فراترکیب. پژوهشنامه مدیریت و پردازش اطلاعات 32 (3): 843-874.
غفاریان، سمانه، مهرداد جلالی، فهیمه بابالحوائجی، و نجلا حریری. 1399. طراحی مدل خدمات شخصیسازیشده با رویکرد سامانههای توصیهگر در نرمافزار کتابخانه دیجیتال آستان قدس رضوی. کتابداری و اطلاعرسانی 23 (2): 5-24.
کریمپورآذر، آسیه. 1390. ارائه مدلی برای شخصیسازی نتایج جستوجو در کتابخانههای دیجیتال تحت وب با استفاده از تکنیک دادهکاوی. پایاننامه کارشناسی ارشد منتشرشده. دانشگاه اصفهان.
میری، انیس، مریم اسلامی، و عباس مرجانی. 1395. شخصیسازی ارائه خدمات در کتابخانههای عمومی از دیدگاه کتابداران کتابخانههای عمومی شهر مشهد. پژوهشنامه کتابداری و اطلاعرسانی 6 (2): 227-243.
یزدیپور، مریم، مهدی علیپور حافظی، و بهروز رسولی. 1396. مدیران در ایجاد کتابخانه دیجیتالی بهدنبال چه اهدافی هستند؟. پژوهشنامه مدیریت وپردازش اطلاعات 32 (3): 817-842.
References
Adewojo, A. A. &Dunmade, A. O. 2024. From big data to intelligent libraries: Leveraging analytics for enhanced user experiences. Business Information Review 41 (3): 104–109.
Adeyemi, I. O., R. Muhammed-Jamiu, I. O. Muhammed, R. T. Mustapha, M. O. Mustapha, Z. Musa, & A. Salman. 2025. Big data applications and management for digital library services in selected academic libraries in Kwara State, Nigeria. Digital Library Perspectives 41 (2): 229–246.
Almaghrabi, M. A. & G. Chetty. 2017. A Novel Data Mining Testbed for User Centred Modelling and Personalisation of Digital Library Services. 13 IEEE eScience 434-435
Almaghrabi, M. A. 2021. A Novel Data Mining and Knowledge Discovery Framework for Digital Library Recommendations System based on User’s Feedback and Personalization. Published doctoral thesis. University of Canberra.
Ashiq, M. 2024. Industry 5.0 – the human centric solution and personalization: Challenges and opportunities for libraries. Library Hi Tech News 56 (6): 34-47.
Avancini, H., L. Candela, & U. Straccia. 2007. Recommenders in a personalized, collaborative digital library environment. Journal of Intelligent Information Systems 28 (3): 253-283.
Bordoni, L., F. Esposito, O. Licchelli, F. Poggi, & G. Semeraro. 2003. Personalized Search for Digital Library Users. In Atti del Workshop" IntelligenzaArtificiale per i Beni Culturali", Pisa, 23.
Brusilovsky, P., R. Farzan, & J. W. Ahn. 2005. Comprehensive personalized information access in an educational digital library. In Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, 9-18.
Callan, J., A. Smeaton, M. Beaulieu, P. Borlund, P. Brusilovsky, M. Chalmers, C. Lynch, J. Riedl, B. Smyth, U. Straccia, & E. Toms. 2003. Personalization and Recommendation Systems in Digital Libraries. Joint NSF-ED DELOS Working Group Report.
Chen, Y. 2014. Analysis on approach of data mining in personalized information system of university library. Bio Technology 10 (21): 12804-12809.
Chun, J. H., G. E. Lee, J. H. Kang, H. Yoo, Y. He, & J. Y. Lee. 2025. Beyond the desk: Enhancing user satisfaction with contactless services in South Korean academic libraries. The Journal of Academic Librarianship 51: 1-13.
Cornelis, A. 2003. Personalization in Digital Libraries – An Extended View. The Journal of Academic Librarianship 46 (5):1-12
De Nart, D., & C. Tasso. 2014. A personalized concept-driven recommender system for scientific libraries. Procedia Computer Science 38: 84-91.
De Nart, D., & C. Tasso. 2014. A personalized concept-driven recommender system for scientific libraries. Procedia Computer Science 38: 84-91.
Dehghani, Z. 2010. Designing a model for context‑aware recommender systems in digital libraries. Published master’s thesis. University of Isfahan. [In Persian]
Desmarchelier, B., F. Djellal, & F. Gallouj. 2025. Innovation in libraries: A service-oriented perspective. Research Policy 54: 1-13.
Di Giacomo, M., D. Mahoney, J. Bollen, A. Monroy-Hernandez, & C. M. R. Meraz. 2001. My Library, A Personalization Service for Digital Library Environments. In A. Sequeira & J. Borbinha (Eds.), DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries, 1-7
Digital Library Federation .2022. A working definition of digital library.https://old.diglib.org/about/dldefinition.html (accessed May 2, 2022)
Donkor, A. B. & D. A. Afrane. 2023. Application of AI in Academic Library Services: Prospects and Implications for Quality Service Delivery. IGI Global, 1-25
Dunmade, A. O. & S. A. Hamzat. 2023. Relevance of Big Data Analytics in Nigerian Academic Libraries: University of Ilorin Library Experience. Mousaion South African Journal of Information Studies 40 (1): 1-13.
Elena Renda, M., & U. Straccia. 2002. A Personalized Collaborative Digital Library Environment. In: Lim, E.P., et al. Digital Libraries: People, Knowledge, and Technology. ICADL. Lecture Notes in Computer Science, vol 2555. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36227-4_30
Ferran, N., E. Mor, & J. Minguillón. 2005. Towards personalization in digital libraries through ontologies. Library management 26 (4/5): 206-217.
Frej, H. B. 2007. Personnalisation Services for Digital Libraries. Laboratoire de Recherche en Informatique LRI 24: 215-224.
Frias-Martinez, E., G. Magoulas, S. Chen, & R. Macredie. 2020. Automated user modeling for personalized digital libraries. International Journal of Information Management 26 (3): 234-248.
Frias‐Martinez, E., S. Y. Chen, & X. Liu. 2007. Automatic cognitive style identification of digital library users for personalization. Journal of the American Society for Information Science and Technology 58 (2): 237-251.
Fu, J. H., J. Q. Ly, & X. Y. Li. 2011. The research about Intelligent Search Engine and in Digital Library personalization services. Advanced Materials Research 143: 333-337.
Gao, F., C. Xing, X. Du, & S. Wang. 2007. Personalized service system based on hybrid filtering for digital library. Tsinghua Science and Technology 12 (1): 1-8.
Geisler, G., D. McArthur & S. Giersch. 2001. Developing recommendation services for a digital library with uncertain and changing data. Joint Conference on Digital Libraries 12: 124-139
Ghafarian, S., M. Jalali, F. Babalhavaeji, & N. Hariri. 2020. Designing a personalized services model using recommender systems approach in the digital library software of Astan Quds Razavi. Library and Information Sciences, 23 (2), 5–24. [In Persian]
Giacomo, M. D., D. Mahoney, J. Bollen, A. Monroy-Hernández, & C. M. Ruiz Meraz. 2001. MyLibrary, A Personalization Service for Digital Library Environments. DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries, 235-250
Goldenberg, D., K. Kofman, J. Albert, S. Mizrachi, A. Horowitz, & I. Teinemaa. .2021. Personalization in Practice: Methods and Applications. In Proceedings of the Fourteenth ACM International Conference on Web Search and Data Mining (WSDM ’21), March 8–12, 2021, Virtual Event, IsraelNew York, NY, USA: . ACM.Gopal, Nivedhitha, & Rupavathy Nandhagopal. 2018. Data mining in personalized service of digital library. International Journal of Engineering & Technology 7 (1.7): 51-53. https://doi.org/10.14419/ijet.v7i1.7.9570
Grise, M., and B. Gallupe. 2000. Information overload: Addressing the productivity paradox in face-to-face electronic meeting. Journal of Management Information Systems 16 (3): 157–185.
Gulati, N., S. Sharma, and S. Tyagi. 2024. Transforming Digital Libraries Through Ai: Analysing Personalization Strategies for Improved User Satisfaction. ShodhKosh: Journal of Visual and Performing Arts 5 (5): 605–612.
He, M. 2023. Application of Big Data Analysis in Personalized Service Management of University Libraries. Information and Knowledge Management 4 (1): 71-78.
Hou, D. 2022. Personalized Book Recommendation Algorithm for University Library Based on Deep Learning Models. Journal of Sensors 25 (1): 3087623.
Hua, Q. 2019. About Digital Library Personalized Knowledge Service. Journal of Smart Cities 4 (1): 7-9.
Hussain, A. 2023. Use of artificial intelligence in the library services: prospects and challenges. Library Hi Tech News 40 (2): 15–17.
Ismail Olatunji Adeyemi, Ridwan Muhammed-Jamiu, Isiwat Opeyemi Muhammed, Roqeebat Temiloluwa Mustapha, Mahbuba Oyindamola Mustapha, Zainab Musa, Abdusalam Salman. 2025. Big data applications and management for digital library services in selected academic libraries in Kwara state, Nigeria. Digital Library Perspectives 41 (2): 229–246.
Jadhava, D. & D. Shenoy. 2020. Measuring the smartness of a library. Library and Information Science Research 42: 1-13.
Janmohammadi, F. 2018. Investigating the status of recommender systems and personalization capabilities in Iranian digital library software [Master's thesis, Allameh Tabataba'i University]. [In Persian]
Jayawardana, C. & M. Hirakawa. 2000. Interface Mechanism to Personalize a Digital Library. Information Processing Society of Japan Journal ( IPSJ ) 41 (10): 2863-2872.
Jayawardana, C., K. P. Hewagamage, & M. Hirakawa. 2001. A personalized information environment for digital libraries. Information Technology and Libraries 20 (4): 185-197
Kalota, F., B. F. Boamah, H. Allam, T. Schisler, & G. Witty. 2025. Beyond Books: Student Perspectives on Emerging Technologies, Usability, and Ethics in the Library of the Future. Publications, 13 (3): 32.
Kao, S. C., & C. Wu. 2012. PIKIPDL: a personalized information and knowledge integration platform for DL service. Library Hi Tech 30 (3): 490-512.
Karimi, Mozhgan. 2012. Designing a Personalized Page for the User Based on Recommender Systems. Master’s thesis. K.N. Toosi University of Technology, Faculty of Industrial Engineering. [In Persian]
Karimpour Azar, A. 2011. Providing a model for personalizing search results in web‑based digital libraries using data mining techniques [Master's thesis, University of Isfahan]. [In Persian]
Khavidaki, S. 2010. Providing a framework for personalization of services in digital academic libraries (Doctoral dissertation). Alzahra University. [In Persian]
Khavidaki, S., Rezaei Sharifabadi, S., & Ghaebi, A. 2021a. User profile in personalization of digital academic library services: A Delphi study. Library and Information Sciences, 25 (2), 1–23. [In Persian]
Khavidaki, S., Rezaei Sharifabadi, S., & Ghaebi, A. 2021b. The status of personalization of services in Iranian digital academic libraries. Academic Library and Information Research, 56 (1), 1–42. [In Persian]
Khavidaki, S., Rezaei Sharifabadi, S., & Ghaebi, A. 2022. Factors affecting the development and improvement of personalization of services in digital libraries in Iranian universities. Journal of Library and Information Science, 12 (2), 302–326. [In Persian]
Kitchenham, B., & Charters, S. 2007. Guidelines for performing systematic literature reviews in software engineering (Technical Report EBSE‑2007‑001). Keele University and Durham University Joint Report. http://www.dur.ac.uk/ebse/resources/Systematic-reviews-5-8.pdf
Kraus, K., M. Breier & S. Dasí-Rodríguez. 2020. The art of crafting a systematic literature review in entrepreneurship research. International Entrepreneurship and Management Journal 16: 1023-1042.
kumar, A. & Chidambaram, M. 2025. Personalization and User Behavior Analysis in Digital Libraries: A Systematic Review. Academic Research Journal of Science & Technology, 16 (5): 256-274
Lai, Y. and J. Zeng. 2013. A cross‐language personalized recommendation model in digital libraries. The Electronic Library 31 (3): 264-277.
Leidig, J. P & E. A. Fox. 2018. Intelligent digital libraries and tailored services. Journal of Intelligent Information Systems 43: 463-480.
Li, K., & Y. Xiao. 2013. Personalized service system for digital library. In IEEE Conference Anthology, 1-3.
Li, S. 2025. Personalized recommendation of intelligent library resources based on artificial intelligence algorithm. Procedia Computer Science 261: 1012-1018.
LIANG, T., H. LAI, & Y. KU. 2012. Personalized Content Recommendation and User Satisfaction: Theoretical Synthesis and Empirical Findings. Journal of Management Information Systems, 23 (3): 45–70
Liao, S. C., K. F. Kao, I. E. Liao, H. L. Chen, & S. O. Huang. 2009. PORE: a personal ontology recommender system for digital libraries. The Electronic Library 27 (3): 496-508.
Liu, M. 2022. Personalized recommendation system design for library resources through deep belief networks. Mobile Information Systems, Article 7870724, 1–8. https://doi.org/10.1155/2022/7870724
Liu, Z. & B. Shao. 2024. A systematic review of library services platforms research and research agenda. Library & Information Science Research 46 (4): 101325.
Lopes, G. R., M. A., L. K. Wives, J. P. M. & de Oliveira. 2008. A personalized recommender system for digital libraries. In Proceedings of the 14th Brazilian Symposium on Multimedia and the Web, 59-66
M. A. Almaghrabi, and G. Chetty. 2017. A Novel Data Mining Testbed for User Centred Modelling and Personalisation of Digital Library Services, 2017 IEEE 13th International Conference on e-Science (e-Science), Auckland, New Zealand, 2017, 434-435.
Mann, F., J. Wang, B. Lloyd-Evans, R. Ma. & S. Johnson. 2018. Associations between loneliness and perceived social support and outcomes of mental health problems: a systematic review. BMC Psychiatry 18 (156): 1-16.
Marzuki, M., S. F. Azero, N. A. Zamzuri & M. R. Kadir. 2025. A Systematic Literature Review of User Behavior and Personalization in Digital Libraries. International Journal of Research and Innovation in Social Science (IJRISS),9 (1): 4830–4842.
Miri, A., M. Eslami, & A. Marjani. 2016. Personalization of service provision in public libraries from the perspective of public librarians in Mashhad. Journal of Library and Information Science, 6 (2): 227–243. [In Persian]
Nika, A., T. Catarci, Y. Ioannidis, A. Katifori, G. Koutrika, N. Manola, ... & M. Thaller. 2012. A survey of context-aware cross-digital library personalization. InAdaptive Multimedia Retrieval. Context, Exploration, and Fusion: 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers 8 (pp. 16-30). Springer Berlin Heidelberg.
Ohwofasa, Faith, Anthonia Titi Abah, & Gladys Titilayo Olorunyomi. 2025. Transformation of contemporary libraries through strategic integration of automation technologies, artificial intelligence, and digital preservation framework”. Journal of Library Services and Technologies 7 (2): 184-194.
Omero, P., N, Polesello, & C. Tasso. 2007. Personalized intelligent information services within an online digital library for medicine: the BIBLIOMED system. IRCDL, 7: 46-51.
Omisore, M. O., & O. W. Samuel. 2014. Personalized recommender system for digital libraries. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) 9 (1): 18-32
Ou, J., S. Lin, & J. Li. 2001. The personalized index service system in digital library. In Proceedings of the Third International Symposium on Cooperative Database Systems for Advanced Applications. CODAS 2001 (pp. 92-99). IEEE
Oyelude, A. A. 2025. Technology trends for libraries in the AI era. Library Hi Tech News 42 (6): 1-16
Paik, K. 2024. Personalized Information Services: The Netflix Model for libraries. Journal of Emerging Technologies and Innovative Research (JETIR) 11 (3): 1405-1409.
Pang, N., & F. Yan. 2012. The research on personalized service of digital library based on data mining. In 2012 National Conference on Information Technology and Computer Science Atlantis Press. https://doi.org/10.2991/citcs.2012.221
Qian, L., L. Liu, & Y. Hu. 2007. Analysis of personalized information service system for digital libraries. In 2007 First IEEE International Symposium on Information Technologies and Applications in Education, 233-237. IEEE. Kunming, China.https://doi.org/10.1109/ISITAE.2007.4409277
Renda, M. E., & U. Straccia. 2005. A personalized collaborative digital library environment: a model and an application. Information and Processing and Management 41: 5-21
Rezaeifard, S., M. Haji Zeinolabedini, & A. R. Asnafi. 2021. Providing a model for information resource recommender systems in Iranian library software. Library and Information Sciences 25 (2): 1–22. [In Persian]
Riecken, D. 2016. Personalized views of personalization. Communication of the ACM 43 (8): 27-28.
Rosenberg, V. 2015. Factors affecting the preferences of industrial personnel for information gathering methods. Information Storage and Retrieval 3 (3): 119–127.
Sa’ari, Haziah and Sahak, Mohd Dasuki and Skrzeszewskis, 2023. Deep learning algorithms for personalized services and enhanced user experience in libraries: a systematic review. Mathematical Sciences and Informatics Journal (MIJ) 4 (2): 30-47.
Salman. 2025. Big data applications and management for digital library services in selected academic
Semeraro, G., P. Lops, M. Degemmis, P. Basile,, & A. Gentile. 2007. Personalization in digital libraries: An intelligent service based on semantic user profiles. In M. Agosti, F. Esposito, & C. Thanos (Eds.), Post‑proceedings of the Third Italian Research Conference on Digital Library Systems (IRCDL) 2007 (pp. 27–37). DELOS: a Network of Excellence on Digital Libraries.
Shaffril, H. M., S. E. Krauss, & S. F. Samsuddin. 2018. A systematic review on Asian's farmers' adaptation practices towards climate change. Sci Total Environ 10 (644): 683-695.
Sheikhshoaei, F., N. Naghshineh, S. Alidousti, & M. Nakhoda. 2017. A foundation for designing a digital library maturity model: Application of meta‑synthesis method. Journal of Information Processing and Management, 32 (3), 843–874. [In Persian]
Smeaton, A. & J. Callan. 2005. Personalisation and recommender systems in digital libraries. Int J Digit Libr 5: 290-308
Son, M., D. Shin, & D. Shin. 2008. An XML Based User Context Language for Personalized Service in Ubiquitous Digital Library. ALPIT, 367-372
Syaharuddin, Ardyawin, I. & D. Iswanto. 2024.The Role of Artificial Intelligence in Optimizing Library Access and Services for Science and Technology in the Digital Age. Seminar Nasional LPPM UMMAT 12: 75-85
Tejeda-Lorente, Á., C. Porcel, E. Peis, R. Sanz, & E. Herrera-Viedma. 2014. A quality based recommender system to disseminate information in a university digital library. Information Sciences 261: 52-69.
Tilley, E. 2013. Personalized Boutique Service: Critical to Academic Library Success. New Review of Academic Librarianship 19: 78–97.
Toch, E., Y. Wang, & L. F. Cranor. 2012. Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems. User Model User-Adap Inter 22: 203–220.
Xu, J. 2018. Research on personalized service of university library based on user behavior. In International Workshop on Advances in Social Sciences, UK: Francis Academic Press
Yan, X. 2013. Research on Digital Library Personalized Information Service Model Based on Agent Model. Journal of Digital Information Management 11 (6): 34-54 .
Yazdipour, M., M. Alipour Hafezi, & B. Rasuli. 2017. What goals are managers seeking in creating a digital library?. Journal of Information Processing and Management, 32 (3): 817–842. [In Persian]
Yin, J., D. Yueting, & T. Jiangqin. 2018. Personalized Multimedia Retrieval in CADAL Digital Library. Services Reporting, 56 (6): 45-63
Zhai, Z. P. 2014. The design and realization of university library personalized service based on date-mining technology. Applied mechanics and materials 556: 6681-6684.
Zhang, F., Z. Gao, & Q. Ye. 2015. Construction of cloud platform for personalized information services in digital library based on cloud computing data processing technology. Automatic Control and Computer Sciences 49: 373-379.
Zhang, Q., & X. Wang. 2014. Digital Library of personalized information services approach and Countermeasures. In Proceedings of the 2014 International Conference on Education, Management and Computing Technology (pp. 404–406). Atlantis Press. https://doi.org/10.2991/icemct-14.2014.96
