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» Predicting user interests from contextual information
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KDD
2010
ACM
327views Data Mining» more  KDD 2010»
15 years 1 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...
EUSAI
2004
Springer
15 years 3 months ago
Context-Aware, Ontology-Based Service Discovery
Service discovery is a process of locating, or discovering, one or more documents, that describe a particular service. Most of the current service discovery approaches perform synt...
Tom Broens, Stanislav Pokraev, Marten van Sinderen...
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...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
15 years 10 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
UAI
2003
14 years 11 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...