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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 3 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
14 years 8 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
13 years 11 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine usersā€™ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
Xiao Zhang, Prasenjit Mitra
ICTIR
2009
Springer
13 years 3 months ago
Training Data Cleaning for Text Classification
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
Andrea Esuli, Fabrizio Sebastiani
ECIR
2007
Springer
13 years 7 months ago
Popularity Weighted Ranking for Academic Digital Libraries
Abstract. We propose a popularity weighted ranking algorithm for academic digital libraries that uses the popularity factor of a publication venue overcoming the limitations of imp...
Yang Sun, C. Lee Giles