egbib.bib

@String(PAMI  = {IEEE TPAMI})
@String(IJCV  = {IJCV})
@String(CVPR  = {CVPR})
@String(ICCV  = {ICCV})
@String(ECCV  = {ECCV})
@String(NIPS  = {NeurIPS})
@String(ICPR  = {ICPR})
@String(BMVC  =	{BMVC})
@String(TOG   = {ACM TOG})
@String(TIP   = {IEEE TIP})
@String(TVCG  = {IEEE TVCG})
@String(TCSVT = {IEEE TCSVT})
@String(TMM   =	{IEEE TMM})
@String(ACMMM = {ACM MM})
@String(ICME  =	{ICME})
@String(ICASSP=	{ICASSP})
@String(ICIP  = {ICIP})
@String(ACCV  = {ACCV})
@String(ICLR  = {ICLR})
@String(IJCAI = {IJCAI})
@String(PR = {PR})
@String(AAAI = {AAAI})
@String(CVPRW= {CVPRW})
@String(CSVT = {IEEE TCSVT})



@String(PAMI = {IEEE Trans. Pattern Anal. Mach. Intell.})
@String(IJCV = {Int. J. Comput. Vis.})
@String(CVPR= {IEEE Conf. Comput. Vis. Pattern Recog.})
@String(ICCV= {Int. Conf. Comput. Vis.})
@String(ECCV= {Eur. Conf. Comput. Vis.})
@String(NIPS= {Adv. Neural Inform. Process. Syst.})
@String(ICPR = {Int. Conf. Pattern Recog.})
@String(BMVC= {Brit. Mach. Vis. Conf.})
@String(TOG= {ACM Trans. Graph.})
@String(TIP  = {IEEE Trans. Image Process.})
@String(TVCG  = {IEEE Trans. Vis. Comput. Graph.})
@String(TMM  = {IEEE Trans. Multimedia})
@String(ACMMM= {ACM Int. Conf. Multimedia})
@String(ICME = {Int. Conf. Multimedia and Expo})
@String(ICASSP=	{ICASSP})
@String(ICIP = {IEEE Int. Conf. Image Process.})
@String(ACCV  = {ACCV})
@String(ICLR = {Int. Conf. Learn. Represent.})
@String(IJCAI = {IJCAI})
@String(PR   = {Pattern Recognition})
@String(AAAI = {AAAI})
@String(CVPRW= {IEEE Conf. Comput. Vis. Pattern Recog. Worksh.})
@String(CSVT = {IEEE Trans. Circuit Syst. Video Technol.})

@String(SPL	= {IEEE Sign. Process. Letters})
@String(VR   = {Vis. Res.})
@String(JOV	 = {J. Vis.})
@String(TVC  = {The Vis. Comput.})
@String(JCST  = {J. Comput. Sci. Tech.})
@String(CGF  = {Comput. Graph. Forum})
@String(CVM = {Computational Visual Media})

@article{FactorMeet,
  title={Factorization meets the neighborhood: a multifaceted collaborative filtering model},
  author={Koren, Y.},
  journal={Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining },
  year={2008},
  page={pp. 426-434}
}

@article{BigChaos2008,
  title={The bigchaos solution to the netflix prize 2008},
  author={T{\"o}scher, Andreas and Jahrer, Michael},
  journal={Netflix Prize, Report},
  year={2008}
}

@article{BellKor2008,
  title={The bellkor 2008 solution to the netflix prize},
  author={Bell, Robert M and Koren, Yehuda and Volinsky, Chris},
  journal={Statistics Research Department at AT\&T Research},
  volume={1},
  number={1},
  year={2008}
}

@article{Alpher01,
  title={Use of knn for the netflix prize},
  author={Hong, Ted and Tsamis, Dimitris},
  journal={CS229 Projects},
  year={2006},
}

@inproceedings{FMF,
	series = {SIGIR '11},
	pages = {315--324},
	publisher = {ACM},
	booktitle = {Proceedings of the 34th international ACM SIGIR conference on research and development in information retrieval},
	isbn = {1450307574},
	year = {2011},
	title = {Functional matrix factorizations for cold-start recommendation},
	language = {eng},
	author = {Zhou, Ke and Yang, Shuang-Hong and Zha, Hongyuan},
	keywords = {cold-start problem ; functional matrix factorization ; collaborative filtering ; decision tree ; recommender systems},
}

@inproceedings{he2017neural,
	title={Neural collaborative filtering},
	author={He, Xiangnan and Liao, Lizi and Zhang, Hanwang and Nie, Liqiang and Hu, Xia and Chua, Tat-Seng},
	booktitle={Proceedings of the 26th international conference on world wide web},
	pages={173--182},
	year={2017}
}

@article{stevens1971issues,
	title={Issues in psychophysical measurement.},
	author={Stevens, Stanley S},
	journal={Psychological review},
	volume={78},
	number={5},
	pages={426},
	year={1971},
	publisher={American Psychological Association}
}