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» PolyLens: A recommender system for groups of user
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SIGIR
2003
ACM
14 years 18 days ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
GROUP
2003
ACM
14 years 18 days ago
Studying the effect of similarity in online task-focused interactions
Although the Internet provides powerful tools for social interactions, many tasks—for example, information-seeking—are undertaken as solitary activities. Information seekers a...
Dan Cosley, Pamela J. Ludford, Loren G. Terveen
PVLDB
2010
191views more  PVLDB 2010»
13 years 5 months ago
SnipSuggest: Context-Aware Autocompletion for SQL
In this paper, we present SnipSuggest, a system that provides onthe-go, context-aware assistance in the SQL composition process. SnipSuggest aims to help the increasing population...
Nodira Khoussainova, YongChul Kwon, Magdalena Bala...
RECSYS
2010
ACM
13 years 7 months ago
Global budgets for local recommendations
We present the design, implementation and evaluation of a new geotagging service, Gloe, that makes it easy to find, rate and recommend arbitrary on-line content in a mobile settin...
Thomas Sandholm, Hang Ung, Christina Aperjis, Bern...
HCI
2007
13 years 8 months ago
Focussing on Extra-Ordinary Users
“Universal Access” is often focused on modifying main-stream products to respond to the demands of older and disabled people – which implies an extremely wide range of user c...
Graham Pullin, Alan F. Newell