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» Time, Relevance and Interaction Modelling for Information Re...
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WWW
2009
ACM
16 years 1 months ago
Building term suggestion relational graphs from collective intelligence
This paper proposes an effective approach to provide relevant search terms for conceptual Web search. ‘Semantic Term Suggestion’ function has been included so that users can f...
Jyh-Ren Shieh, Yung-Huan Hsieh, Yang-Ting Yeh, Tse...
SIGIR
2011
ACM
14 years 9 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
16 years 7 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
IJCNN
2007
IEEE
16 years 26 days ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
ICMCS
2000
IEEE
98views Multimedia» more  ICMCS 2000»
15 years 11 months ago
Mining User Behavior for Resource Prediction in Interactive Electronic Malls
Applications in virtual multimedia catalogs are highly interactive. Thus, it is difficult to estimate resource demands required for presentation of catalog contents. In this pape...
Silvia Hollfelder, Vincent Oria, M. Tamer Özs...