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» PolyLens: A recommender system for groups of user
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SIGIR
2003
ACM
15 years 7 months 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
15 years 7 months 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»
15 years 7 days 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
15 years 2 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...
101
Voted
HCI
2007
15 years 3 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