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» Predicting user interests from contextual information
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UAI
2004
14 years 11 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
ACL
2012
13 years 13 days ago
Finding Bursty Topics from Microblogs
Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Al...
Qiming Diao, Jing Jiang, Feida Zhu, Ee-Peng Lim
KES
2008
Springer
14 years 10 months ago
Semantic Bookmarking and Search in the Earth Observation Domain
This paper describes the experience of introducing a service for semantic bookmarking and search in the Earth Observation (EO) domain. To perform the work reported such a service h...
Francesca Fallucchi, Maria Teresa Pazienza, Noemi ...
CIVR
2004
Springer
155views Image Analysis» more  CIVR 2004»
15 years 3 months ago
Topic Threading for Structuring a Large-Scale News Video Archive
We are building a broadcast news video archive where topics of interest can be retrieved and tracked easily. This paper introduces a structuring method applied to the accumulated n...
Ichiro Ide, Hiroshi Mo, Norio Katayama, Shin'ichi ...
VTC
2007
IEEE
132views Communications» more  VTC 2007»
15 years 4 months ago
Collaborative Information Revelation and Collusion in "Word-of-Mouth" Access Selection Schemes
— “Word-of-Mouth”, a novel scheme for sharing the service quality experienced with different local networks, is presented and evaluated as a distributed solution for performi...
Pietro Lungaro