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» A Probability Model for Combining Ranks
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ACL
2009
15 years 1 months ago
Optimizing Language Model Information Retrieval System with Expectation Maximization Algorithm
Statistical language modeling (SLM) has been used in many different domains for decades and has also been applied to information retrieval (IR) recently. Documents retrieved using...
Justin Liang-Te Chiu, Jyun-Wei Huang
SIGIR
2006
ACM
15 years 10 months ago
Combining bidirectional translation and synonymy for cross-language information retrieval
This paper introduces a general framework for the use of translation probabilities in cross-language information retrieval based on the notion that information retrieval fundament...
Jianqiang Wang, Douglas W. Oard
SIGIR
2003
ACM
15 years 9 months ago
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
We present a non-traditional retrieval problem we call subtopic retrieval. The subtopic retrieval problem is concerned with finding documents that cover many different subtopics ...
ChengXiang Zhai, William W. Cohen, John D. Laffert...
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
15 years 9 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su
IPM
2008
134views more  IPM 2008»
15 years 3 months ago
RSS: A framework enabling ranked search on the semantic web
The semantic web not only contains resources but also includes the heterogeneous relationships among them, which is sharply distinguished from the current web. As the growth of th...
Xiaomin Ning, Hai Jin, Hao Wu