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» Introduction to recommender systems
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77
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PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
15 years 3 months ago
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
Tag recommender systems are often used in social tagging systems, a popular family of Web 2.0 applications, to assist users in the tagging process. But in cold-start situations i.e...
Christine Preisach, Leandro Balby Marinho, Lars Sc...
SIGKDD
2008
132views more  SIGKDD 2008»
14 years 10 months ago
Retail sales prediction and item recommendations using customer demographics at store level
This paper outlines a retail sales prediction and product recommendation system that was implemented for a chain of retail stores. The relative importance of consumer demographic ...
Michael Giering
97
Voted
CHI
2003
ACM
15 years 10 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
EDBT
2009
ACM
105views Database» more  EDBT 2009»
15 years 5 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 1 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...