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ECAI
2008
Springer
15 years 6 months ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer
ACL
2008
15 years 6 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum
BCSHCI
2008
15 years 6 months ago
An investigation into the use of field methods in the design and evaluation of interactive systems
This paper reports the results of an international web-based survey on the use of field studies in the design and evaluation of interactive systems, which was conducted between De...
Kelly Monahan, Mia Lahteenmaki, Sharon McDonald, G...
BCSHCI
2007
15 years 6 months ago
Supporting human memory with interactive systems
The major goal of this workshop is to explore how interactive systems can support human memory, using novel technologies and innovative human/machine interaction paradigms, such a...
Denis Lalanne, Elise van den Hoven
IJCAI
2007
15 years 6 months ago
Occam's Razor Just Got Sharper
Occam’s razor is the principle that, given two hypotheses consistent with the observed data, the simpler one should be preferred. Many machine learning algorithms follow this pr...
Saher Esmeir, Shaul Markovitch