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Search results for matrix collaboration
collaboration
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matrix
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5 search results found
Implicit
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3,322
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Librec
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3,113
LibRec: A Leading Java Library for Recommender Systems, see
Cornac
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782
A Comparative Framework for Multimodal Recommender Systems
Recommendation
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324
Recommendation System using ML and DL
Construct
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304
This is The Construct
Modl
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115
Randomized online matrix factorization
Element Rpm
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88
Providing the Element messaging desktop client packaged for the Fedora, Red Hat(IBM), and OpenSUSE families of linux desktop operating systems.
Cofirank
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56
CofiRank
Top K Rec
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54
A method collection for topk recommendation
Matrix Notepad
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38
A buggy way to collaborate on text documents using the Matrix protocol. When it works, consider this the Matrix Console of collaboration!
Recommendationengine
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37
[Deprecated] An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis
Decentralized Social Apps Guide
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36
An awesome overview of existing opensource decentralized apps, platforms, protocols and concepts for social networking, engagement and collaboration
Recommendation Systems
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28
Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Contentbased, Collaborative filtering, Knowledgebased, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, AutoEncoders, Wide & Deep, RankLearning, Sequence Modelling Methods: Explicit vs. implicit feedback, UserItem matri
Recommender Systems Paper
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21
Mustread Papers for Recommender Systems (RS)
Recommender System
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21
In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorizationbased ( SVD, PMF, SVD++, NMF), and many others.
Cp User Behavior
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18
Recommendation engine using collaborative filtering and matrix factorization
Kerascollaborativefiltering
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18
My Keras implementation of Matrix Factorization (MF) and Bayesian Personalized Ranking (BPR)
Cfdemo
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17
Some collaborative filtering algorithm demo: User/Itembased CF, ALS, word2vec etc.
Matrix Factorization
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16
Library for matrix factorization for recommender systems using collaborative filtering
Recommender Systems For Implicit Feedback Datasets
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14
Matrix Factorization augmented with customer item meta data
Parallel_cf
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14
Parallel itembased collaborative filtering
Collaborativefilteringv3
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12
TimeSVD++ model: Recommender system using Matrix Factorization techniques, while utilize temporal models to extend models accuracy.
Collaborative_filtering
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12
Recommendation system for music.
Recommendbyitemcf
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11
Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF
Svd Recommend
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11
Singular Value Decompositionlike matrix factorization for collaborative filtering [recommender systems]
Bigdata_project_recommender_system
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10
Recommender system based on Item Collaborative Filtering and MapReduce
Pyclimf
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9
Collaborative Less is More Matrix Factorization in Python
Evelium
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9
A matrix chat client to facilitate communication amoung communities, organizations, and individuals
Mf Pytorch
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8
Matrix Factorization reimplementation with pytorch
Movies Recommender
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8
A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.
Collaborative_filtering_spark
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6
Tfmf
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5
Collaborative Filtering Using Matrix Factorization in TensorFlow
Thyfriendmyfriend
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5
Implementation of the NIPS'17 paper titled "Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation"
Online X
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5
A bunch of online algorithms for matrix factorization and collaborative filtering.
Dualosccf
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5
We implement a DualOSCCF (Dual Operating System Collaborative Computing Framework) on ARM PB11MPCore fourcore embedded platform, in which Linux and aCoral1 are configured to run. aCoral is a small size realtime operating system (RTOS), which is capable of improving the efficiency of computationsensitive applications. Linux is mainly responsible for I/O and user interaction, while aCoral is only for computation jobs, such as largescaled matrix computing. DualOSCCF provides intercore interrupt
Mf_re_sys
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5
matrix factorization for recommender system (collaborative filtering)
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