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109
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KDD
2012
ACM
221views Data Mining» more  KDD 2012»
13 years 3 days ago
Fast mining and forecasting of complex time-stamped events
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
Yasuko Matsubara, Yasushi Sakurai, Christos Falout...
DIGITALCITIES
1998
Springer
15 years 1 months ago
Silhouettell: Awareness Support for Real-World Encounter
We have developed a system, called Silhouettell, that provides awareness support for real-world encounters. Silhouettell uses a large graphics screen. People's locations (who ...
Masayuki Okamoto, Hideyuki Nakanishi, Toshikazu Ni...
AIMSA
2008
Springer
15 years 4 months ago
Thematic Segment Retrieval Revisited
Documents, especially long ones, may contain very diverse passages related to different topics. Passages Retrieval approaches have shown that, in most cases, there is a great pote...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
WWW
2010
ACM
15 years 4 months ago
Equip tourists with knowledge mined from travelogues
With the prosperity of tourism and Web 2.0 technologies, more and more people have willingness to share their travel experiences on the Web (e.g., weblogs, forums, or Web 2.0 comm...
Qiang Hao, Rui Cai, Changhu Wang, Rong Xiao, Jiang...
96
Voted
SOCIALCOM
2010
14 years 7 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang