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CHI
2011
ACM
12 years 11 months ago
Determining relevancy: how software developers determine relevant information in feeds
Finding relevant information within the vast amount of information exchanged via feeds is difficult. Previous research into this problem has largely focused on recommending relev...
Thomas Fritz, Gail C. Murphy
ICML
2005
IEEE
14 years 8 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
WWW
2010
ACM
13 years 7 months ago
Using a model of social dynamics to predict popularity of news
Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items ...
Kristina Lerman, Tad Hogg
LREC
2010
132views Education» more  LREC 2010»
13 years 9 months ago
Development and Use of an Evaluation Collection for Personalisation of Digital Newspapers
This paper presents the process of development and the characteristics of an evaluation collection for a personalisation system for digital newspapers. This system selects, adapts...
Alberto Díaz, Pablo Gervás, Antonio ...
SIGMOD
2009
ACM
186views Database» more  SIGMOD 2009»
14 years 2 months ago
What's on the grapevine?
User generated content and social media (in the form of blogs, wikis, online video, microblogs, etc) are proliferating online. Grapevine conducts large scale data analysis on the ...
Albert Angel, Nick Koudas, Nikos Sarkas, Divesh Sr...