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» Information Retrieval in Folksonomies: Search and Ranking
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SIGIR
2010
ACM
15 years 3 months ago
Inferring user intent in web search by exploiting social annotations
In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process. We present a number of result re-ranking techniques based on...
Jose M. Conde, David Vallet, Pablo Castells
SIGIR
2012
ACM
13 years 1 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
CIKM
2008
Springer
15 years 1 months ago
Using tag semantic network for keyphrase extraction in blogs
Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a super...
Lizhen Qu, Christof Müller, Iryna Gurevych
CIKM
2005
Springer
15 years 4 months ago
Supporting ranked search in parallel search cluster networks
We investigate how to support ranked keyword search in a Parallel Search Cluster Network, which is a newly proposed peer-to-peer network overlay. In particular, we study how to eļ...
Fang Xiong, Qiong Luo, Dyce Jing Zhao
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 6 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...