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http://bura.brunel.ac.uk/handle/2438/23624Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Luo, X | - |
| dc.contributor.author | Liu, Z | - |
| dc.contributor.author | Li, S | - |
| dc.contributor.author | Shang, M | - |
| dc.contributor.author | Wang, Z | - |
| dc.date.accessioned | 2021-11-28T20:40:18Z | - |
| dc.date.available | 2021-11-28T20:40:18Z | - |
| dc.date.issued | 2018-11-21 | - |
| dc.identifier.citation | Luo, X., Liu, Z.,, Li, S., Shang, M. and Wang, Z. (2021) 'A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51 (1), pp. 610 - 620, doi: 10.1109/TSMC.2018.2875452. | en_US |
| dc.identifier.issn | 2168-2216 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23624 | - |
| dc.description.sponsorship | National Key Research and Development Program of China (Grant Number: 2017YFC0804002); 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61772493 and 91646114); Chongqing Research Program of Technology Innovation and Application (Grant Number: cstc2017rgzn-zdyfX0020, cstc2017zdcy-zdyf0554 and cstc2017rgzn-zdyf0118); Chongqing Cultivation Program of Innovation and Entrepreneurship Demonstration Group (Grant Number: cstc2017kjrc-cxcytd0149); Chongqing Overseas Scholars Innovation Program (Grant Number: cx2017012 and cx2018011); 10.13039/501100002367-Pioneer Hundred Talents Program of Chinese Academy of Sciences. | en_US |
| dc.format.extent | 610 - 620 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.subject | big data | en_US |
| dc.subject | high-dimensional and sparse (HiDS) matrix | en_US |
| dc.subject | latent factor (LF) analysis | en_US |
| dc.subject | missing data estimation | en_US |
| dc.subject | non-negative LF (NLF) model | en_US |
| dc.subject | recommender system | en_US |
| dc.title | A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/TSMC.2018.2875452 | - |
| dc.relation.isPartOf | IEEE Transactions on Systems, Man, and Cybernetics: Systems | - |
| pubs.issue | 1 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 51 | - |
| dc.identifier.eissn | 2168-2232 | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 3.34 MB | Adobe PDF | View/Open |
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