Personalized information retrieval in digital ecosystems
Search results personalization is considered a promising approach to boost the quality of text retrieval. In this paper, a personalized information retrieval paradigm is proposed which not only implicitly creates user profile by learning users? search history, search preferences, and desktop informa...
| Main Authors: | Zhu, Dengya, Dreher, Heinz |
|---|---|
| Format: | Conference Paper |
| Published: |
IEEE
2008
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/23993 |
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