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» On bootstrapping recommender systems
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CHI
2003
ACM
16 years 6 months ago
Recommending collaboration with social networks: a comparative evaluation
Studies of information seeking and workplace collaboration often find that social relationships are a strong factor in determining who collaborates with whom. Social networks prov...
David W. McDonald
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
16 years 26 days ago
Iterative Set Expansion of Named Entities Using the Web
Set expansion refers to expanding a partial set of “seed” objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), which e...
Richard C. Wang, William W. Cohen
EDBT
2009
ACM
105views Database» more  EDBT 2009»
16 years 1 months ago
Personalizing entity detection and recommendation with a fusion of web log mining techniques
Given the proliferation of technology sites and the growing diversity of their readership, readers are more and more likely to encounter specialized language and terminology that ...
Kathleen Tsoukalas, Bin Zhou 0002, Jian Pei, Davor...
ECTEL
2006
Springer
15 years 10 months ago
A Context-Aware Service Oriented Framework for Finding, Recommending and Inserting Learning Objects
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
Xavier Ochoa, Stefaan Ternier, Gonzalo Parra, Erik...
DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 10 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy