Evaluation and selection of group recommendation strategies for collaborative searching of learning objects
- 1 April 2015
- journal article
- Published by Elsevier BV in International Journal of Human-Computer Studies
- Vol. 76, 22-39
- https://doi.org/10.1016/j.ijhcs.2014.12.002
Abstract
No abstract availableFunding Information
- JCCM (TIN2010-20395, POII10-0133-3516)
- Spanish Ministry of Science (TIN-2011-22408)
- National Council of Science and Technology (CONACyT)
This publication has 31 references indexed in Scilit:
- Group-based recipe recommendationsPublished by Association for Computing Machinery (ACM) ,2010
- Enhancing group recommendation by incorporating social relationship interactionsPublished by Association for Computing Machinery (ACM) ,2010
- Group recommendationProceedings of the VLDB Endowment, 2009
- Group Recommendation with Automatic Identification of Users CommunitiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Managing uncertainty in group recommending processesUser Modelling and User-Adapted Interaction, 2008
- Finding the right facts in the crowdPublished by Association for Computing Machinery (ACM) ,2008
- CoSearchPublished by Association for Computing Machinery (ACM) ,2008
- A group recommendation system with consideration of interactions among group membersExpert Systems with Applications, 2007
- Fast Effective Rule InductionPublished by Elsevier BV ,1995
- Instance-based learning algorithmsMachine Learning, 1991