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CIKM
2009
Springer
14 years 5 months ago
Detecting topic evolution in scientific literature: how can citations help?
Qi He, Bi Chen, Jian Pei, Baojun Qiu, Prasenjit Mi...
CIKM
2009
Springer
14 years 5 months ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
CIKM
2009
Springer
14 years 5 months ago
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
CIKM
2009
Springer
14 years 5 months ago
A query language for analyzing networks
With more and more large networks becoming available, mining and querying such networks are increasingly important tasks which are not being supported by database models and query...
Anton Dries, Siegfried Nijssen, Luc De Raedt
CIKM
2009
Springer
14 years 5 months ago
Graph classification based on pattern co-occurrence
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
Ning Jin, Calvin Young, Wei Wang
CIKM
2009
Springer
14 years 5 months ago
The impact of document structure on keyphrase extraction
Keyphrases are short phrases that reflect the main topic of a document. Because manually annotating documents with keyphrases is a time-consuming process, several automatic appro...
Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten...
CIKM
2009
Springer
14 years 5 months ago
The effect of negation on sentiment analysis and retrieval effectiveness
We investigate the problem of determining the polarity of sentiments when one or more occurrences of a negation term such as “not” appear in a sentence. The concept of the sco...
Lifeng Jia, Clement T. Yu, Weiyi Meng
CIKM
2009
Springer
14 years 5 months ago
Towards a universal wordnet by learning from combined evidence
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous applications in areas like NLP, IR, and AI. We propose a methodology for the au...
Gerard de Melo, Gerhard Weikum
CIKM
2009
Springer
14 years 5 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
CIKM
2009
Springer
14 years 5 months ago
A general markov framework for page importance computation
We propose a General Markov Framework for computing page importance. Under the framework, a Markov Skeleton Process is used to model the random walk conducted by the web surfer on...
Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Ha...