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» Centering Information Retrieval to the User
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 7 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
CIKM
2007
Springer
16 years 26 days ago
Utilizing a geometry of context for enhanced implicit feedback
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
Massimo Melucci, Ryen W. White
187
Voted
WWW
2010
ACM
15 years 10 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
MM
2004
ACM
167views Multimedia» more  MM 2004»
16 years 3 days ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
DIAL
2004
IEEE
138views Image Analysis» more  DIAL 2004»
15 years 10 months ago
Retrieving Imaged Documents in Digital Libraries Based on Word Image Coding
A great number of documents are scanned and archived in the form of digital images in digital libraries, to make them available and accessible in the Internet. Information retriev...
Yue Lu, Li Zhang, Chew Lim Tan