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» Improving Case-Based Recommendations Using Implicit Feedback
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SIGSOFT
2009
ACM
14 years 8 months ago
DebugAdvisor: a recommender system for debugging
In large software development projects, when a programmer is assigned a bug to fix, she typically spends a lot of time searching (in an ad-hoc manner) for instances from the past ...
B. Ashok, Joseph M. Joy, Hongkang Liang, Sriram K....
CIKM
2008
Springer
13 years 9 months ago
The query-flow graph: model and applications
Query logs record the queries and the actions of the users of search engines, and as such they contain valuable information about the interests, the preferences, and the behavior ...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, De...
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
14 years 29 days ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps
ER
2006
Springer
112views Database» more  ER 2006»
13 years 11 months ago
An Architecture for Emergent Semantics
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...
Sven Herschel, Ralf Heese, Jens Bleiholder
IPM
2008
139views more  IPM 2008»
13 years 7 months ago
Complex adaptive filtering user profile using graphical models
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Yi Zhang 0001