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CIKM
2010
Springer
13 years 6 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
DEXAW
2010
IEEE
231views Database» more  DEXAW 2010»
13 years 8 months ago
Extracting User Interests from Search Query Logs: A Clustering Approach
-- This paper proposes to enhance search query log analysis by taking into account the semantic properties of query terms. We first describe a method for extracting a global semant...
Lyes Limam, David Coquil, Harald Kosch, Lionel Bru...
SIGIR
2004
ACM
14 years 1 months ago
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content...
Shuang Liu, Fang Liu, Clement T. Yu, Weiyi Meng
WWW
2005
ACM
14 years 8 months ago
Object-level ranking: bringing order to Web objects
In contrast with the current Web search methods that essentially do document-level ranking and retrieval, we are exploring a new paradigm to enable Web search at the object level....
Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen, Wei-Ying ...
CORR
2008
Springer
127views Education» more  CORR 2008»
13 years 7 months ago
Comparing and Combining Methods for Automatic Query Expansion
Abstract. Query expansion is a well known method to improve the performance of information retrieval systems. In this work we have tested different approaches to extract the candid...
José R. Pérez-Agüera, Lourdes A...