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WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
14 years 3 months ago
Towards Recency Ranking in Web Search
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
14 years 3 months ago
Adapting Information Bottleneck Method for Automatic Construction of Domain-oriented Sentiment Lexicon
Domain-oriented sentiment lexicons are widely used for finegrained sentiment analysis on reviews; therefore, the automatic construction of domain-oriented sentiment lexicon is a f...
Songbo Tan, Weifu Du, Xiaochun Yun, Xueqi Cheng
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
14 years 3 months ago
Leveraging Temporal Dynamics of Document Content in Relevance Ranking
Many web documents are dynamic, with content changing in varying amounts at varying frequencies. However, current document search algorithms have a static view of the document con...
Jonathan L. Elsas, Susan T. Dumais
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
14 years 3 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
14 years 3 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...