Neil Rubens

According to our database1, Neil Rubens authored at least 26 papers between 2007 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




A survey of active learning in collaborative filtering recommender systems.
Computer Science Review, 2016

Solving the AL Chicken-and-Egg Corpus and Model Problem: Model-free Active Learning for Phenomena-driven Corpus Construction.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Exploring Innovation Ecosystems as Networks: Four European Cases.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Active Learning in Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

Understanding Business Ecosystem Dynamics: A Data-Driven Approach.
ACM Trans. Management Inf. Syst., 2015

SNS Messages Recommendation for Learning Motivation.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations.
IJTM, 2014

Goal-Based Messages Recommendation Utilizing Latent Dirichlet Allocation.
Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Active Learning in Collaborative Filtering Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective.
ACM TIST, 2013

An Inquiry Based Collaborative Learning Using in E-NOTEBOOK System.
Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

Adapting to Natural Rating Acquisition with Combined Active Learning Strategies.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

E-Learning 3.0: Anyone, Anywhere, Anytime, and AI.
Proceedings of the New Horizons in Web Based Learning, 2012

A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Understanding Mobile Ecosystem Dynamics: a Data-Driven Approach.
Proceedings of the International Conference on Mobile Business, 2012

Message-Based Motivation Modeling.
Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, 2012

Utilizing Social Media for Goal Setting Based on Observational Learning.
Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, 2012

Active Learning in Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2011

A Network Analysis of Investment Firms as Resource Routers in Chinese Innovation Ecosystem.
JSW, 2011

ELIxIR: Expertise Learning and Identification x Information Retrieval.
IJISSC, 2011

CAFE: Collaboration Aimed at Finding Experts.
I. J. Knowledge and Web Intelligence, 2010

Automatic Group Formation for Informal Collaborative Learning.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

A batch ensemble approach to active learning with model selection.
Neural Networks, 2008

Active Learning with Model Selection in Linear Regression.
Proceedings of the SIAM International Conference on Data Mining, 2008

Order Retrieval.
Proceedings of the Large-Scale Knowledge Resources. Construction and Application, 2008

Influence-based collaborative active learning.
Proceedings of the 2007 ACM Conference on Recommender Systems, 2007