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Cosine similarity

Known as: Cosine distance, Vector cosine 
Cosine similarity is a measure of similarity between two non zero vectors of an inner product space that measures the cosine of the angle between… 
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Related topics

Related topics

22 relations
Automatic summarizationCollaborative filteringCongruence coefficientData mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
A topic sentence-based instance transfer method for imbalanced sentiment classification of Chinese product reviews
2016
2016
A light-weight yet accurate localization system for autonomous cars in large-scale and complex environments
We propose a light-weight yet accurate localization system for autonomous cars that operate in large-scale and complex urban… 
2012
2012
CLUSTERING BASED ON COSINE SIMILARITY MEASURE
All clustering methods have to assume some cluster relationship among the data objects that they are applied on. Hierarchical… 
2011
2011
A channel-blind system for speaker verification
The majority of speaker verification systems proposed in the NIST speaker recognition evaluation are conditioned on the type of… 
2011
2011
Speaker Verification Using Sparse Representations on Total Variability i-vectors
In this paper, the sparse representation computed by lminimization with quadratic constraints is employed to model the i-vectors… 
Highly Cited
2008
Highly Cited
2008
Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare
2005
2005
Automatically acquiring a linguistically motivated genic interaction extraction system
This paper describes an Information Extraction (IE) system to identify genic interactions in text. The approach relies on the… 
2004
2004
Probe, cluster, and discover: focused extraction of QA-Pagelets from the deep Web
We introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present… 
2000
2000
Discriminative training in natural language call routing
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Highly Cited
1999
Highly Cited
1999
An Efficient Implementation of Distance-Based Diversity Measures Based on k-d Trees
The problem of quantifying molecular diversity continues to attract significant interest among computational chemists. Most… 
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