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» Learning to Rank for Personalized News Article Retrieval
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JMLR
2010
118views more  JMLR 2010»
12 years 11 months ago
Learning to Rank for Personalized News Article Retrieval
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
Lorand Dali, Blaz Fortuna, Jan Rupnik
ICIW
2009
IEEE
13 years 11 months ago
Personalization Mechanism for Delivering News Articles on the User's Desktop
—Deploying a generalized, multi-functional mechanism that produces good results for personalizing summarized and categorized news articles, seems to be a panacea for most of the ...
Christos Bouras, Vassilis Tsogkas
IUI
2010
ACM
14 years 1 months ago
Personalized news recommendation based on click behavior
Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A key challenge of news websites is to help user...
Jiahui Liu, Peter Dolan, Elin Rønby Pederse...
WWW
2007
ACM
14 years 5 months ago
Exploring in the weblog space by detecting informative and affective articles
Weblogs have become a prevalent source of information for people to express themselves. In general, there are two genres of contents in weblogs. The first kind is about the weblog...
Xiaochuan Ni, Gui-Rong Xue, Xiao Ling, Yong Yu, Qi...
WWW
2005
ACM
14 years 5 months ago
Ranking a stream of news
According to a recent survey made by Nielsen NetRatings, searching on news articles is one of the most important activity online. Indeed, Google, Yahoo, MSN and many others have p...
Gianna M. Del Corso, Antonio Gulli, Francesco Roma...