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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 9 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 9 months ago
Efficient computation of personal aggregate queries on blogs
There is an exploding amount of user-generated content on the Web due to the emergence of "Web 2.0" services, such as Blogger, MySpace, Flickr, and del.icio.us. The part...
Ka Cheung Sia, Junghoo Cho, Yun Chi, Belle L. Tsen...
CIKM
2011
Springer
12 years 8 months ago
Learning to aggregate vertical results into web search results
Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals, into the Web search results. The task requires predicting...
Jaime Arguello, Fernando Diaz, Jamie Callan
HT
2010
ACM
13 years 10 months ago
Connecting users and items with weighted tags for personalized item recommendations
1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xia...
MM
2009
ACM
233views Multimedia» more  MM 2009»
14 years 1 months ago
Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression
Photo community sites such as Flickr and Picasa Web Album host a massive amount of personal photos with millions of new photos uploaded every month. These photos constitute an ove...
Liangliang Cao, Jie Yu, Jiebo Luo, Thomas S. Huang