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» Adaptive relevance feedback in information retrieval
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HT
2007
ACM
14 years 18 days ago
ASSIST: adaptive social support for information space traversal
Finding relevant information in a hyperspace has been a much studied problem for many years. With the emergence of so called Web 2.0 technologies we have seen the use of social sy...
Rosta Farzan, Maurice Coyle, Jill Freyne, Peter Br...
CIKM
2008
Springer
13 years 10 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
CSE
2009
IEEE
14 years 3 months ago
Information Retrieval in Wikis Using an Ontology
This article addresses a question regarding relevant information in a social media such as a wiki that can contain huge amount of text, written in slang or in natural language, wi...
Carlos Miguel Tobar, Alessandro Santos Germer, Jua...
CVPR
2001
IEEE
14 years 10 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
KDD
1998
ACM
101views Data Mining» more  KDD 1998»
14 years 29 days ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos