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Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach
Xin Li,
Hsinchun Chen
Management Information Systems
BIO5, Institute of
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Article
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peer-review
217
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Dive into the research topics of 'Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach'. Together they form a unique fingerprint.
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Keyphrases
Kernel-based Machine Learning
100%
User-item
100%
Bipartite Graph
100%
Link Prediction
100%
Walking Path
50%
Item Features
25%
User-item Interaction
25%
Classification Framework
25%
Benchmark Algorithms
25%
Online Application
25%
Interaction Graph
25%
Recommender Systems
25%
One-class Classification
25%
Recommendation Problems
25%
Item Graph
25%
Link Prediction Problem
25%
Recommendation Approach
25%
Collaborative Filtering
25%
User Feature
25%
Product Content
25%
Computer Science
Link Prediction
100%
Recommender Systems
50%
Online Application
50%
Its-Context
50%
Interaction Graph
50%
Classification Framework
50%
Collaborative Filtering
50%
Class Classification
50%