Adam

Adam

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Field	Value
Title	Adam
Type	Source Code
Language	Matlab
License
Status	Research Code
Update Frequency	NO
Date Published	2013-01-31
Date Updated	2019-01-31
Portal	https://github.com/tulip-lab/open-code
URL	https://github.com/tulip-lab/open-code/tree/master/Adam
Publisher	TULIP Lab
Point of Contact	A/Prof. Gang Li

This package (Adam) implemented the algorithm to impute the missing data set for collaborative filtering.

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Citations

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If you use it for a scientific publication, please include a reference to this paper.

• Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou. Lazy Collaborative Filtering for Datasets with Missing Values. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2013, 43(6): 1822-1834.

• Yongli Ren, Gang Li, Jun Zhang and Wanlei Zhou. AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering. 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), Aug 25-28, 2013 in Niagara Falls, Canada. Full Paper.

BibTex information:

  @Article{RLZZ13J09,
    author    = {Ren, Yongli and Li, Gang and Zhang, Jun and Zhou, Wanlei},
    title     = {Lazy Collaborative Filtering for Datasets with Missing Values},
    journal   = {IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics},
    year      = {2013},
    volume    = {43},
    number    = {6},
    pages     = {1822-1834},
    owner     = {Quan},
    timestamp = {2014.01.06},
  }

  @InProceedings{RLZZ13C02,
    author    = {Ren, Yongli and Li, Gang and Zhang, Jun and Zhou, Wanlei},
    title     = {AdaM: Adaptive-Maximum Imputation for Neighborhood-based Collaborative Filtering},
    booktitle = {ASONAM 2013 : Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining},
    year      = {2013},
    pages     = {628-635},
    address   = {Niagara Falls, Canada},
    owner     = {Quan},
    timestamp = {2014.01.06},
  }

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Requirements

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• Matlab