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» Implicit user modeling for personalized search
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TOCHI
2010
90views more  TOCHI 2010»
13 years 6 months ago
Potential for personalization
Current Web search tools do a good job of retrieving documents that satisfy the wide range of intentions that people associate with a query – but do not do a very good job of di...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
ACMSE
2010
ACM
13 years 5 months ago
Mobile web search personalization using ontological user profile
Most present day search engines have a deterministic behavior in the sense that they return the same search results for all users who submit the same query at a certain time. They...
Kapil Goenka, Ismailcem Budak Arpinar, Mustafa Nur...
COMPSAC
2004
IEEE
13 years 11 months ago
Excalibur: A Personalized Meta Search Engine
General purpose Web search engines are becoming ineffective due to the rapid growth and changes in the contents of the World Wide Web. Meta-search engines help a bit by having a b...
Leo Yuen, Matthew Chang, Ying Kit Lai, Chung Keung...
ATAL
2005
Springer
14 years 1 months ago
Implicit: an agent-based recommendation system for web search
The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider ...
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgi...
CORR
2006
Springer
126views Education» more  CORR 2006»
13 years 7 months ago
Evaluating the Robustness of Learning from Implicit Feedback
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...
Filip Radlinski, Thorsten Joachims