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Automatic tag recommendation algorithms for social recommender systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Social Bookmarking for Scholarly Digital Libraries
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Soft nearest prototype classification
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Real-time computerized annotation of pictures
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Real-time automatic tag recommendation
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Tag recommendations based on tensor dimensionality reduction
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Recommending scientific articles using citeulike
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A sparse gaussian processes classification framework for fast tag suggestions
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Bipartite graph partitioning and data clustering
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Usage patterns of collaborative tagging systems
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On Information and Sufficiency
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Empirical Analysis of Predictive Algorithms for Collaborative Filtering
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On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning
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Probabilities for SV Machines
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Gaussian Processes for Machine Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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News Document Summarization Driven by User-Generated Content
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Personalized Geolocation Image Tagging On Social Media
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A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation
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Why Ignore Content? A Guideline for Intrinsic Evaluation of Item Embeddings for Collaborative Filtering
inferred← citeshttps://doi.org/10.7146/dpb.v40i596.13587openalex-snapshot
ECSCW 2013 Adjunct Proceedings The 13th European Conference on Computer Supported Cooperative Work 21 - 25. September 2013, Paphos, Cyprus
inferred← citeshttps://doi.org/10.7717/peerj-cs.3821openalex-snapshot
A hybrid system for personalized next point-of-interest recommendations using deep learning and fuzzy logic
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.