2015 · 33 citations · 35 references
ComputingData ScienceHealth InformaticsGestational DiabetesInformation RetrievalRecommender SystemsCollaborative FilteringCross-domain RecommendationGraph-based LearningKeyword AnalysisOnline RecommendationSocial Network AnalysisCross-context RecommendationCross-domain Collaborative FilteringCross-domain DiversityCross-domain Hybrid RecommendationCross-domain Recommendation TransferGraph-based RecommendationHeterogeneous Cross-domain RecommendationSocial Network Structure
Given the users from a social network site, who have been tagged with a set of terms, how can we recommend the movies tagged with a completely different set of terms hosted by another website? Given the users from a website dedicated to Type I and Type II diabetes, how can we recommend the discussion threads from another website dedicated to gestational diabetes, where the keywords used in the two websites might be quite diverse? In other words, how can we recommend across heterogeneous domains characterized by barely overlapping feature sets?
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Sinno Jialin Pan, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2009 · 23.2K citations
Distributed Representations of Words and Phrases and their Compositionality
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Numerical recipes: the art of scientific computing
W. H. Press, Brian P. Flannery, Saul A. Teukolsky et al. · Analytica Chimica Acta · 1987 · 3.3K citations