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CIKM
2008
Springer
13 years 7 months ago
Ranked feature fusion models for ad hoc retrieval
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Jeremy Pickens, Gene Golovchinsky
DOCENG
2006
ACM
13 years 11 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
SIGIR
2012
ACM
11 years 7 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
13 years 9 months ago
Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques
In this paper, we present Concept Chain Queries (CCQ), a special case of text mining in document collections focusing on detecting links between two topics across text documents. ...
Wei Jin, Rohini K. Srihari, Hung Hay Ho, Xin Wu
SIGIR
2010
ACM
13 years 9 months ago
On statistical analysis and optimization of information retrieval effectiveness metrics
This paper presents a new way of thinking for IR metric optimization. It is argued that the optimal ranking problem should be factorized into two distinct yet interrelated stages:...
Jun Wang, Jianhan Zhu