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IIR
2010
15 years 3 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
DSS
2008
133views more  DSS 2008»
15 years 1 months ago
A semantic-expansion approach to personalized knowledge recommendation
The rapid propagation of the Internet and information technologies has changed the nature of many industries. Fast response and personalized recommendations have become natural tr...
Ting-Peng Liang, Yung-Fang Yang, Deng-Neng Chen, Y...
ACL
2010
14 years 11 months ago
Bridging SMT and TM with Translation Recommendation
We propose a translation recommendation framework to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outp...
Yifan He, Yanjun Ma, Josef van Genabith, Andy Way
IUI
2010
ACM
15 years 10 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...
RECSYS
2009
ACM
15 years 8 months ago
Assessment of conversation co-mentions as a resource for software module recommendation
Conversation double pivots recommend target items related to a source item, based on co-mentions of source and target items in online forums. We deployed several variants on the d...
Daniel Xiaodan Zhou, Paul Resnick