Neil Rubens

Publication Activity (10 Years)

Years Active: 2006-2016
Publications (10 Years): 3

Top Topics

Item Based Collaborative Filtering

Collaborative Filtering

Rating Prediction

Top Venues

ACM Trans. Manag. Inf. Syst.

Publications

Jukka Huhtamäki, Neil Rubens
Exploring Innovation Ecosystems as Networks: Four European Cases. HICSS (2016)
Mehdi Elahi, Francesco Ricci, Neil Rubens
A survey of active learning in collaborative filtering recommender systems. Comput. Sci. Rev. 20 (2016)
Dain Kaplan, Neil Rubens, Simone Teufel, Takenobu Tokunaga
Solving the AL Chicken-and-Egg Corpus and Model Problem: Model-free Active Learning for Phenomena-driven Corpus Construction. LREC (2016)
Rahul C. Basole, Martha G. Russell, Jukka Huhtamäki, Neil Rubens, Kaisa Still, Hyunwoo Park
Understanding Business Ecosystem Dynamics: A Data-Driven Approach. ACM Trans. Manag. Inf. Syst. 6 (2) (2015)
Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno
SNS Messages Recommendation for Learning Motivation. AIED (2015)
Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno
Goal-Based Messages Recommendation Utilizing Latent Dirichlet Allocation. ICALT (2014)
Neil Rubens
Turing Test for the Internet of Things. CoRR (2014)
Kaisa Still, Jukka Huhtamäki, Martha G. Russell, Neil Rubens
Insights for orchestrating innovation ecosystems: the case of EIT ICT Labs and data-driven network visualisations. Int. J. Technol. Manag. 66 (2/3) (2014)
Mehdi Elahi, Francesco Ricci, Neil Rubens
Active Learning in Collaborative Filtering Recommender Systems. EC-Web (2014)
Mehdi Elahi, Francesco Ricci, Neil Rubens
Active learning strategies for rating elicitation in collaborative filtering: A system-wide perspective. ACM Trans. Intell. Syst. Technol. 5 (1) (2013)
Xin Wan, Neil Rubens, Toshio Okamoto
An Inquiry Based Collaborative Learning Using in E-NOTEBOOK System. ICALT (2013)
Marko V. Jankovic, Neil Rubens
A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks. ICONIP (3) (2012)
Rahul C. Basole, Martha G. Russell, Jukka Huhtamäki, Neil Rubens
Understanding Mobile Ecosystem Dynamics: a Data-Driven Approach. ICMB (2012)
Neil Rubens, Toshio Okamoto, Dain Kaplan
Message-Based Motivation Modeling. ICALT (2012)
Sébastien Louvigné, Neil Rubens, Fumihiko Anma, Toshio Okamoto
Utilizing Social Media for Goal Setting Based on Observational Learning. ICALT (2012)
Mehdi Elahi, Francesco Ricci, Neil Rubens
Adapting to Natural Rating Acquisition with Combined Active Learning Strategies. ISMIS (2012)
Neil Rubens, Dain Kaplan, Toshio Okamoto
E-Learning 3.0: Anyone, Anywhere, Anytime, and AI. ICWL Workshops (2012)
Neil Rubens, Kaisa Still, Jukka Huhtamäki, Martha G. Russell
A Network Analysis of Investment Firms as Resource Routers in Chinese Innovation Ecosystem. J. Softw. 6 (9) (2011)
Neil Rubens, Dain Kaplan, Toshio Okamoto
ELIxIR: Expertise Learning and Identification x Information Retrieval. Int. J. Inf. Syst. Soc. Chang. 2 (1) (2011)
Neil Rubens, Mikko Vilenius, Toshio Okamoto, Dain Kaplan
CAFE: Collaboration Aimed at Finding Experts. Int. J. Knowl. Web Intell. 1 (3/4) (2010)
Neil Rubens, Mikko Vilenius, Toshio Okamoto
Automatic Group Formation for Informal Collaborative Learning. Web Intelligence/IAT Workshops (2009)
Neil Rubens, Vera Sheinman, Takenobu Tokunaga, Masashi Sugiyama
Order Retrieval. LKR (2008)
Masashi Sugiyama, Neil Rubens
A batch ensemble approach to active learning with model selection. Neural Networks 21 (9) (2008)
Masashi Sugiyama, Neil Rubens
Active Learning with Model Selection in Linear Regression. SDM (2008)
Neil Rubens, Masashi Sugiyama
Influence-based collaborative active learning. RecSys (2007)
Neil Rubens
The Application of Fuzzy Logic to the Construction of the Ranking Function of Information Retrieval Systems CoRR (2006)