A multi-layer contextual model for recommender systems in digital libraries

Aslib Proceedings

Volumn 63, Issue 6, 2011, Pages 555-569

  Jamali, Hamid R ^a,b   Dehghani, Zohreh ^a   Afshar, Ebrahim ^a   Nematbakhsh, Mohammad Ali ^a  

^a UNIVERSITY OF ISFAHAN   (Iran)

^b KHARAZMI UNIVERSITY   (Iran)

Author keywords

Context; Digital libraries; Information seeking behaviour; Information systems; Recommender system; User interfaces

Indexed keywords

ACADEMIC COMMUNITY; COMPUTER ENGINEERING; CONTEXT; CONTEXTUAL INFORMATION; DESIGN/METHODOLOGY/APPROACH; GROUNDED THEORY; INFORMATION SEEKING; MENTAL STATE; QUALITATIVE RESEARCH; RESEARCH LIMITATIONS; SCIENTIFIC RESEARCHES; SEMI STRUCTURED INTERVIEWS; SOCIAL STATUS; TWO STAGE;

CODES (SYMBOLS); DIGITAL LIBRARIES; EDUCATION; INFORMATION SYSTEMS; RESEARCH; USER INTERFACES;

RECOMMENDER SYSTEMS;

EID: 82055193731     PISSN: 0001253X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1108/00012531111187216     Document Type: Article

References (14)

1. Adomavicius, G. and Tuzhilin, A. (2005), “Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions”, IEEE Transactions on Knowledge and Data Engineering, pp. 734-49.
2. Adomavicius, G. and Tuzhilin, A. (2008), “Context-aware recommender systems”, Proceedings of the 2008 ACM Conference on Recommender Systems, 23-25 October, Lausanne, Switzerland.
3. Adomavicius, G., Sankaranarayanan, R., Sen, S. and Tuzhilin, A. (2005), “Incorporating contextual information in recommender systems using a multidimensional approach”, ACM Transactions on Information Systems, Vol. 23 No. 1, pp. 103-45.
4. Baltrunas, L. and Ricci, F. (2009), “Context-dependent items generation in collaborative filtering”, Proceedings of the 2009 Workshop on Context-Aware Recommender Systems, 22-25 October, New York, USA.
5. Baltrunas, L. (2008), “Splitting contextual information in recommender systems”, available at: https://www.inf.unibz.it/∼lbaltrunas/doc/recsys08-ds-baltrunas.pdf (accessed 5 April 2011).
6. Dervin, B. (1992), “From the mind's eye of the user: the sense making qualitative-quantitative methodology”, Qualitative Research in Information Management, Col. Libraries Unlimited, Englewood, CO, pp. 62-84.
7. Dey, A.K. and Abowd, G.D. (1999), “Towards a better understanding of context and context-awareness”, Handheld and Ubiquitous Computing, Vol. 1707, pp. 304-7.
8. Felfernig, A. and Burke, R. (2008), “Constraint-based recommender systems: technologies and research issues”, ACM International Conference Proceeding Series, Proceedings of the 10th International Conference on Electronic Commerce, Innsbruck, Vol. 342.
9. Hong, J., Suh, E. and Kim, S. (2009), “Context-aware systems: a literature review and classification”, Expert Systems with Applications, Vol. 36 No. 4, pp. 8509-22.
10. McNee, S.M., Kapoor, N. and Konstan, J.A. (2006), “Don't look stupid: avoiding pitfalls when recommending research papers”, CSCW '06: Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work, ACM Press, New York, NY, pp. 171-80.
11. Panniello, U., Tuzhilin, A., Gorgoglione, M., Palmisano, C. and Pedone, A. (2009), “Experimental comparison of pre- and post-filtering approaches in context-aware recommender systems”, Third ACM Conference on Recommender Systems, available at: www-dimeg.poliba.it/∼kmlab/index_file/Downloads/Experimental.pdf (accessed 5 April 2011).
12. Resnick, P. and Varian, H.R. (1997), “Recommender systems”, Communications of the ACM, Vol. 40 No. 3, pp. 56-8.
13. Vivacqua, S.A., Oliveira, J. and Souza, M. (2009), “i-ProSE: inferring user profiles in a scientific context”, The Computer Journal, Vol. 52 No. 7, pp. 789-98.
14. Zaslow, J. (2002), “If TiVo thinks you are gay, here's how to set it straight what you buy affects recommendations on Amazon.com, too; why the cartoons?”, The Wall Street Journal, available at: www.mail-archive.com/eristocracy@merrymeet.com/msg00148.html (accessed 5 April 2011).