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» Ranking with Uncertain Labels
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ML
2010
ACM
124views Machine Learning» more  ML 2010»
13 years 7 months ago
Large scale image annotation: learning to rank with joint word-image embeddings
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...
Jason Weston, Samy Bengio, Nicolas Usunier
SIGIR
2012
ACM
11 years 11 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
DASFAA
2004
IEEE
134views Database» more  DASFAA 2004»
14 years 18 days ago
Applying Co-training to Clickthrough Data for Search Engine Adaptation
The information on the World Wide Web is growing without bound. Users may have very diversified preferences in the pages they target through a search engine. It is therefore a chal...
Qingzhao Tan, Xiaoyong Chai, Wilfred Ng, Dik Lun L...
COLING
2010
13 years 3 months ago
Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources
For sentiment analysis, lexicons play an important role in many related tasks. In this paper, aiming to build Chinese emotion lexicons for public use, we adopted a graph-based alg...
Ge Xu, Xinfan Meng, Houfeng Wang
SIGIR
2011
ACM
12 years 11 months ago
Active learning to maximize accuracy vs. effort in interactive information retrieval
We consider an interactive information retrieval task in which the user is interested in finding several to many relevant documents with minimal effort. Given an initial documen...
Aibo Tian, Matthew Lease