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» Estimating Probabilities in Recommendation Systems
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CIIT
2004
13 years 9 months ago
Considerations on the bit error probability of optical CDMA systems
( )1 The most common metric for evaluating the performance of an optical communications system is the symbol error probability (SEP) versus the received optical power. In circuit-l...
Stefano Galli, Ronald Menendez, Russel Fischer, Ro...
KDD
2010
ACM
270views Data Mining» more  KDD 2010»
13 years 9 months ago
An energy-efficient mobile recommender system
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for knowledge discovery in transportation systems. A particular...
Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao,...
EMNLP
2004
13 years 9 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
IAT
2009
IEEE
14 years 2 months ago
Social Trust-Aware Recommendation System: A T-Index Approach
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...
Alireza Zarghami, Soude Fazeli, Nima Dokoohaki, Mi...
EWCBR
2006
Springer
13 years 11 months ago
Combining Case-Based and Similarity-Based Product Recommendation
Product recommender systems are a popular application and research field of CBR for several years now. However, almost all CBRbased recommender systems are not case-based in the or...
Armin Stahl