'Tag recommendation' diaporamas de présentation

Dongheng Sun 04/26/2011

Learning with Matrix Factorizations. By Nathan Srebro. Dongheng Sun 04/26/2011. Outline. Matrix Factorization Models and Formulations --Dimensionality reduction and applications --Matrix Factorization -- Matrix Factorization Models --Loss functions

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The Topic-Perspective Model for Social Tagging Systems

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Mining Tag Semantics for Social Tag Recommendation

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A Probabilistic Approach to Personalized Tag Recommendation

A Probabilistic Approach to Personalized Tag Recommendation. Meiqun Hu, Ee-Peng Lim and Jing Jiang School of Information S ystems Singapore Management U niversity. Image credit @ logorunner.com. Social Tagging. Social tagging allows users to annotate resources with tags . organize

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Todays topic

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A Probabilistic Approach to Personalized Tag Recommendation

A Probabilistic Approach to Personalized Tag Recommendation. Meiqun Hu , Ee-Peng Lim and Jing Jiang School of Information S ystems Singapore Management U niversity. Image credit @ logorunner.com. Social Tagging. Social tagging allows users to annotate resources with tags . organize

352 views • 22 slides

RecSys 2011 Review

RecSys 2011 Review. Qi Zhao 11-01-2011. Outline. Overview Sessions Algorithms Recommenders and the Social Web Multi-dimensional Recommendation, Context-awareness and Group Recommendation Methodological Issues, Evaluation Metrics and Tools Human factors Emerging Recommendation Domains

328 views • 20 slides

Social People-Tagging vs. Social Bookmark-Tagging

Social People-Tagging vs. Social Bookmark-Tagging. Peyman Nasirifard, Sheila Kinsella , Krystian Samp, Stefan Decker. Bookmark-tagging and People-tagging. todo. nlp. friendly. music. research. technician. Motivation. Understand better how people tag each other

342 views • 17 slides

Towards the Question of Redundancy in Social Tagging Networks

Towards the Question of Redundancy in Social Tagging Networks. Social Tagging. Users annotate things (resources) with labels (tags) These annotations are shared, creating a collaborative dataset called a folksonomy. coffee. User A. programming. User B. java.

209 views • 8 slides