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» Approaches for personalised knowledge retrieval
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ICCV
2003
IEEE
14 years 3 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
SIGIR
2008
ACM
13 years 10 months ago
To tag or not to tag -: harvesting adjacent metadata in large-scale tagging systems
We present HAMLET, a suite of principles, scoring models and algorithms to automatically propagate metadata along edges in a document neighborhood. As a showcase scenario we consi...
Adriana Budura, Sebastian Michel, Philippe Cudr&ea...
FQAS
2009
Springer
186views Database» more  FQAS 2009»
13 years 7 months ago
Dynamically Personalizing Search Results for Mobile Users
Abstract. We introduce a novel situation-aware approach to personalize search results for mobile users. By providing a mobile user with appropriate information that dynamically sat...
Ourdia Bouidghaghen, Lynda Tamine-Lechani, Mohand ...
ICAIL
2007
ACM
14 years 1 months ago
Essential deduplication functions for transactional databases in law firms
As massive document repositories and knowledge management systems continue to expand, in proprietary environments as well as on the Web, the need for duplicate detection becomes i...
Jack G. Conrad, Edward L. Raymond
WWW
2008
ACM
14 years 10 months ago
Unsupervised query segmentation using generative language models and wikipedia
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
Bin Tan, Fuchun Peng