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» A General Language Model for Information Retrieval
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WWW
2008
ACM
16 years 7 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
WWW
2007
ACM
16 years 7 months ago
A link-based ranking scheme for focused search
This paper introduces a novel link-based ranking algorithm based on a model of focused Web surfers. FocusedRank is described and compared to implementations of PageRank and Topic-...
Philip O'Brien, Tony Abou-Assaleh, Tapajyoti Das, ...
JCDL
2010
ACM
155views Education» more  JCDL 2010»
15 years 11 months ago
Scholarly paper recommendation via user's recent research interests
We examine the effect of modeling a researcher’s past works in recommending scholarly papers to the researcher. Our hypothesis is that an author’s published works constitute a...
Kazunari Sugiyama, Min-Yen Kan
SIGIR
2003
ACM
15 years 11 months ago
Probabilistic term variant generator for biomedical terms
This paper presents an algorithm to generate possible variants for biomedical terms. The algorithm gives each variant its generation probability representing its plausibility, whi...
Yoshimasa Tsuruoka, Jun-ichi Tsujii
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
16 years 7 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai