Human computation for constraint-based recommenders-Reference-Cited by-同舟云学术

Human computation for constraint-based recommenders

Published:2016-09-28 Issue:1 Volume:49 Page:37-57
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Ulz Thomas,Schwarz Michael,Felfernig Alexander,Haas Sarah,Shehadeh Amal,Reiterer Stefan,Stettinger Martin

Funder

Österreichische Forschungsförderungsgesellschaft

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/article/10.1007/s10844-016-0433-4/fulltext.html

Reference45 articles.

1. Burke, R. (2000). Knowledge-based Recommender Systems. Encyclopedia of Library and Information Systems, 69(32), 180–200.

2. Burke, R., & Hammond, K. (1997). The FindMe Approach to Assisted Browsing. IEEE Expert, 32–40.

3. Burke, R., & Ramezani, M. (2010). Matching Recommendation Technologies and Domains. In Recommender Systems Handbook (pp. 367–386): Springer.

4. Colson, E. (2013). Using human and machine processing in recommendation systems. In human computation and crowdsourcing: Works in progress and demonstration abstracts, Technical Report CR-13-01 (pp. 16–17).

5. Cosley, D., Frankowski, D., Terveen, L., & Suggestbot, J. Riedl. (2007). Using intelligent task routing to help people find work in wikipedia. In IUI’07 (pp. 32–41).

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