Recommender systems in computer science and information systems - A landscape of research

Lecture Notes in Business Information Processing

Volumn 123 LNBIP, Issue , 2012, Pages 76-87

  Jannach, Dietmar ^a   Zanker, Markus ^b   Ge, Mouzhi ^c   Gröning, Marian ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

^b UNIVERSITY OF KLAGENFURT   (Austria)

^c BUNDESWEHR UNIVERSITY MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; INFORMATION SYSTEMS; RECOMMENDER SYSTEMS; RESEARCH;

RESEARCH OPPORTUNITIES; STATE-OF-THE-ART REVIEWS;

ELECTRONIC COMMERCE;

EID: 84866011204     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-32273-0_7     Document Type: Conference Paper

References (16)

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2. Swearingen, K., Sinha, R.: Beyond algorithms: An HCI perspective on recommender systems. In: ACM SIGIR 2001 Workshop on Recommender Systems (2001)
3. Pu, P., Chen, L., Hu, R.: A user-centric evaluation framework for recommender systems. In: Proc. ACM RecSys 2011, pp. 157-164 (2011)
4. Knijnenburg, B., Willemsen, M., Gantner, Z., Soncu, H., Newell, C.: Explaining the user experience of recommender systems. UMUAI 22(4), 441-504 (2012)
5. Zanker, M., Ricci, F., Jannach, D., Terveen, L.G.: Measuring the impact of personalization and recommendation on user behaviour. IJHCS 68(8), 469-471 (2010)
6. Jannach, D., Zanker, M., Felfernig, A., Friedrich, G.: Recommender Systems - An Introduction. Cambridge University Press (2011)
7. Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.): Recommender Systems Handbook. Springer (2011)
8. Xiao, B., Benbasat, I.: E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly 31(1), 137-209 (2007)
9. Felfernig, A., Friedrich, G., Jannach, D., Zanker, M.: An Integrated Environment for the Development of Knowledge-Based Recommender Applications. International Journal of Electronic Commerce 11(2), 11-34 (2006-2007)
10. Zanker, M., Jessenitschnig, M., Schmid, W.: Preference reasoning with soft constraints in constraint-based recommender systems. Constraints 15(4), 574-595 (2010)
11. Felfernig, A., Friedrich, G., Jannach, D., Zanker, M.: Developing constraint-based recommenders. In: [7], pp.187-215
12. Balabanović, M., Shoham, Y.: Fab: content-based, collaborative recommendation. Communications of the ACM 40(3), 66-72 (1997)
13. Pilászy, I., Tikk, D.: Recommending new movies: even a few ratings are more valuable than metadata. In: Proc. ACM RecSys 2009, pp. 93-100 (2009)
14. Jannach, D., Hegelich, K.: A case study on the effectiveness of recommendations in the mobile internet. In: Proc. ACM RecSys 2009, New York, pp. 41-50 (2009)
15. McNee, S., Konstan, J.R.J.: Being accurate is not enough: How accuracy metrics have hurt recommender systems. In: EA ACM CHI 2006, pp. 997-1001 (2006)
16. Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: [7], pp. 217-253