Abstract—This paper discusses the role of context in making
recommender systems for digital libraries. It first introduces
different types of recommender systems then discusses the role
of context in making recommendations for users searching in
digital libraries. This study highlights the important role of
context and the need for more investigation on context-aware
recommender system since exploiting contextual information in
recommender systems is an effective approach to create more
accurate and relevant recommendations. The article stresses
the need for qualitative research on the subject in order to find
out the elements that constitute the context from the users’
viewpoint and the way a context-aware recommender system
could be effectively designed. Past studies seem to have failed to
survey on enough attention to the role of context in designing
recommender systems for digital libraries.
Index Terms—Recommender system, digital library, context,
information seeking in context.
Zohreh Dehghani Champiri and Siti Salwah Binti Salim are with the
Department of Software Engineering, Faculty of Computer Science and
Information Technology, University of Malaya, Iran (e-mail:
z.dehghani@yahoo.com, salwa@um.edu.my).
Seyed Reza Shahamiri with Faculty of Business and Information
Technology, Manukau Institute of Technology, Auckland, New Zealand
(e-mail: rshahamiri@gmail.com).
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Cite: Zohreh Dehghani Champiri, Siti Salwah Binti Salim, and Seyed Reza Shahamiri, " The Role of Context for Recommendations in Digital
Libraries," International Journal of Social Science and Humanity vol. 5, no. 11, pp. 948-954, 2015.