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» Document Retrieval using a Probabilistic Knowledge Model
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ITCC
2005
IEEE
15 years 3 months ago
A Web Recommendation System Based on Maximum Entropy
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Xin Jin, Bamshad Mobasher, Yanzan Zhou
ICALT
2006
IEEE
15 years 3 months ago
Blog as a Tool to Develop e-Learning Experience in an International Distance Course
This paper describes the implementation of blog system in an international distance course between Japan and Taiwan. In the study, blog was used as a tool to encourage students’...
Wei-Jane Lin, Hsiu-Ping Yueh, Yi-Ling Liu, Masayuk...
SIGIR
2011
ACM
14 years 17 days ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
CIKM
2010
Springer
14 years 8 months ago
Ranking related entities: components and analyses
Related entity finding is the task of returning a ranked list of homepages of relevant entities of a specified type that need to engage in a given relationship with a given sour...
Marc Bron, Krisztian Balog, Maarten de Rijke
CACM
1998
110views more  CACM 1998»
14 years 9 months ago
Viewing WISs as Database Applications
abstraction for modeling these problems is to view the Web as a collection of (usually small and heterogeneous) databases, and to view programs that extract and process Web data au...
Gustavo O. Arocena, Alberto O. Mendelzon